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## Poster Sessions

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Note: Plenary talk downloads are available on the Plenary page of this website. Regular talks, not listed here, may be available on the following protected website for registered conference attendees: http://sigproc.eng.cam.ac.uk/spars2015pub

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 08:30 Registration 09:00 - 09:10 Opening remarks Nick Kingsbury 09:10 - 10:30 Chair: Nick Kingsbury 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: Simon Godsill 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 16:30 Chair: Simon Godsill 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Sparsity? A Bayesian view 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: Jared Tanner 16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College

### Tuesday, July 7.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: Jared Tanner 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Bubacarr Bah Model Expander Iterative Hard Thresholding (1059) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: Remi Gribonval 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: Remi Gribonval 13:30 - 14:30 Plenary talk 4 Maryam Fazel Recovery and denoising with simultaneous structures 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: Nick Kingsbury 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.
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 08:30 Registration 09:00 - 10:50 Chair: Jared Tanner 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: Remi Gribonval 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: Remi Gribonval 13:30 - 14:30 Plenary talk 4 Maryam Fazel Recovery and denoising with simultaneous structures 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: Nick Kingsbury 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

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 08:30 Registration 09:00 - 10:50 Chair: Mario Figueiredo 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: Mario Figueiredo 11:20 - 11:40 talk 20 Ulrich Von der Ohe Prony's method for multivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Rebecca Willett Minimax Optimal Rates for Poisson Compressed Sensing (1042) 12:30 - 13:30 Lunch break (Provided) 13:30 - 16:30 Chair: Nick Kingsbury 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: Mike Davies 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: Mike Davies 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran Graphical Models, Latent Variables, and Sufficient Dimension Reduction 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: Justin Romberg 11:20 - 11:40 talk 29 Mark Davenport Constrained adaptive sensing (1139) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:50 - 16:50 Chair: Justin Romberg 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: Nick Kingsbury 16:50 - 17:30 Closing remarks 17:30 Depart
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 08:30 Registration 09:00 - 10:50 Chair: Mike Davies 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran Graphical Models, Latent Variables, and Sufficient Dimension Reduction 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: Justin Romberg 11:20 - 11:40 talk 29 Mark Davenport Constrained adaptive sensing (1139) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Bubacarr Bah Model Expander Iterative Hard Thresholding (1059) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:50 - 16:50 Chair: Justin Romberg 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: Nick Kingsbury 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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There will be three poster sessions of 2 hours each, during the afternoons of 6th, 8th and 9th July. Approximately 30 posters will be presented at each session according to broad subject groupings, as shown on the Poster Sessions webpage .

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Two-page abstracts of all the Talks and Posters may be downloaded from the following website by registered delegates of SPARS 2015 with appropriate login and password details:

## Talks

### Monday, July 6.

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## Talks

### Monday, July 6.

Changed:
<
<
 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Sparsity? A Bayesian view 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College
>
>
 08:30 Registration 09:00 - 09:10 Opening remarks Nick Kingsbury 09:10 - 10:30 Chair: Nick Kingsbury 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: Simon Godsill 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 16:30 Chair: Simon Godsill 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Sparsity? A Bayesian view 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: Jared Tanner 16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College

### Tuesday, July 7.

Changed:
<
<
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Bubacarr Bah Model Expander Iterative Hard Thresholding (1059) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel Recovery and denoising with simultaneous structures 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.
>
>
 08:30 Registration 09:00 - 10:50 Chair: Jared Tanner 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Bubacarr Bah Model Expander Iterative Hard Thresholding (1059) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: Remi Gribonval 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: Remi Gribonval 13:30 - 14:30 Plenary talk 4 Maryam Fazel Recovery and denoising with simultaneous structures 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: Nick Kingsbury 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

Changed:
<
<
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe Prony's method for multivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Rebecca Willett Minimax Optimal Rates for Poisson Compressed Sensing (1042) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)
>
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 08:30 Registration 09:00 - 10:50 Chair: Mario Figueiredo 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: Mario Figueiredo 11:20 - 11:40 talk 20 Ulrich Von der Ohe Prony's method for multivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Rebecca Willett Minimax Optimal Rates for Poisson Compressed Sensing (1042) 12:30 - 13:30 Lunch break (Provided) 13:30 - 16:30 Chair: Nick Kingsbury 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: Mike Davies 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran Graphical Models, Latent Variables, and Sufficient Dimension Reduction 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 Mark Davenport Constrained adaptive sensing (1139) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:50 - 16:50 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
>
>
 08:30 Registration 09:00 - 10:50 Chair: Mike Davies 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran Graphical Models, Latent Variables, and Sufficient Dimension Reduction 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: Justin Romberg 11:20 - 11:40 talk 29 Mark Davenport Constrained adaptive sensing (1139) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:50 - 16:50 Chair: Justin Romberg 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: Nick Kingsbury 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe Prony's method for multivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Rebecca Willett Minimax Optimal Rates for Poisson Compressed Sensing (1042) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

Changed:
<
<
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 Mark Davenport Constrained adaptive sensing (1139) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:50 - 16:50 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
>
>
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran Graphical Models, Latent Variables, and Sufficient Dimension Reduction 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 Mark Davenport Constrained adaptive sensing (1139) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:50 - 16:50 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Sparsity? A Bayesian view 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College

### Tuesday, July 7.

Changed:
<
<
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Bubacarr Bah Model Expander Iterative Hard Thresholding (1059) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.
>
>
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Bubacarr Bah Model Expander Iterative Hard Thresholding (1059) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel Recovery and denoising with simultaneous structures 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

Line: 30 to 30

 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe Prony's method for multivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Rebecca Willett Minimax Optimal Rates for Poisson Compressed Sensing (1042) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

Changed:
<
<
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 Mark Davenport Constrained adaptive sensing (1139) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
>
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 Mark Davenport Constrained adaptive sensing (1139) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:50 - 16:50 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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## Talks

### Monday, July 6.

Changed:
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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College
>
>
 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Sparsity? A Bayesian view 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College

### Tuesday, July 7.

 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Bubacarr Bah Model Expander Iterative Hard Thresholding (1059) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.
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### Wednesday, July 8.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe Prony's method for multivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Andrew Massimino Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)
>
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe Prony's method for multivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Rebecca Willett Minimax Optimal Rates for Poisson Compressed Sensing (1042) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

Changed:
<
<
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 Rebecca Willett Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
>
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 Mark Davenport Constrained adaptive sensing (1139) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe Prony's method for multivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Andrew Massimino Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

Changed:
<
<
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 Rebecca Willett Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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### Wednesday, July 8.

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Andrew Massimino Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe Prony's method for multivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Andrew Massimino Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Toward a unified theory of sparse dimensionality reduction in Euclidean space (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices from tomographic projections for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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(s) = a paper shortlisted for the 'Best Student Paper Award'. The quality of presentation will be taken into account when the committee are selecting the award-winning paper, which will be announced at the Banquet on 7th July.

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All talks will be held in the Auditorium lecture theatre at Robinson College.
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All talks will be held in the Auditorium lecture theatre at Robinson College.

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There will be three poster sessions of 2 hours each, during the afternoons of 6th, 8th and 9th July. Approximately 30 posters will be presented at each session according to broad subject groupings, as shown near the end of this webpage. Please click on the session titles to reach the detailed programs for the poster sessions.
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There will be three poster sessions of 2 hours each, during the afternoons of 6th, 8th and 9th July. Approximately 30 posters will be presented at each session according to broad subject groupings, as shown on the Poster Sessions webpage .

## Talks

### Monday, July 6.

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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College
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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College

### Tuesday, July 7.

 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Bubacarr Bah Model Expander Iterative Hard Thresholding (1059) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.
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### Wednesday, July 8.

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Andrew Massimino Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)
>
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Andrew Massimino Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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Papers will be grouped into the following topics at the three poster sessions:

 Code Topic A Iterative thresholding B CS / Nullspace / RIP methods C Support recovery D Low-rank matrix methods E Applications - denoising / deconvolution etc F not used G Least squares H Structured sparsity I L1 vs Lp norms & reweighting J Sparse classifiers & machine learning K Prony methods L Adaptive sensing M Dictionary learning

Please click on the session titles to reach the detailed program for each of the poster sessions.

### Poster Session 1 - Monday, July 6, 14:30-16:30Theoretical Aspects of Sparsity

 A 1013;1071;1088;1120;1143 B 1036;1070 C 1031;1032;1033;1058;1072;1080;1136 D 1087;1097;1112;1145 I 12;1016;1024;1029;1039;1041;1046;1061;1073;1085;1092;1104;1113;1131 K 1110

### Poster Session 2 - Wednesday, July 8, 14:30-16:30 Structured Sparsity and Adaptive Methods

 G 1018;1034 H 1067;1074;1084;1095;1096;1108;1109;1141;1142 I 1051;1052 J 5;1037;1044;1053;1090;1148 L 1021;1063;1126;1149 M 7;9;13;1026;1040;1045;1050;1057;1060;1086;1093;1100;1114

### Poster Session 3 - Thursday, July 9, 14:50-16:50Applications of Sparsity

 E 11;1017;1019;1030;1035;1038;1049;1064;1078;1082;1089;1098;1107;1116;1118;1122;1123;1127;1132;1133;1135;1137
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 META FILEATTACHMENT attachment="466.jpg" attr="" comment="Robinson Ausitorium 1" date="1420035990" name="466.jpg" path="466.jpg" size="8617" user="ngk10" version="1" attachment="auditorium5.jpg" attr="" comment="Robinson Auditorium 2" date="1420036068" name="auditorium5.jpg" path="auditorium5.jpg" size="8444" user="ngk10" version="1"
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# Program (final)

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The provisional program of the workshop can be found below. The presenting author and title of each oral paper are listed.
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The finalized program of the workshop can be found below. The presenting author and title of each oral paper are listed.

TBD = 'to be determined'.

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All talks will be held in the Auditorium lecture theatre at Robinson College.

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There will be three poster sessions of 2 hours, during the afternoons of 6th, 8th and 9th July. Approximately 30 posters will be presented at each session according to broad subject groupings, as shown near the end of this webpage.
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There will be three poster sessions of 2 hours each, during the afternoons of 6th, 8th and 9th July. Approximately 30 posters will be presented at each session according to broad subject groupings, as shown near the end of this webpage. Please click on the session titles to reach the detailed programs for the poster sessions.

## Talks

Line: 27 to 27

### Wednesday, July 8.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 Andrew Massimino Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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Papers will be grouped into the following topics at the three poster sessions, and are listed below by paper identification numbers (a full poster program will be published soon):
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Papers will be grouped into the following topics at the three poster sessions:

 Code Topic A Iterative thresholding B CS / Nullspace / RIP methods C Support recovery D Low-rank matrix methods E Applications - denoising / deconvolution etc F not used G Least squares H Structured sparsity I L1 vs Lp norms & reweighting J Sparse classifiers & machine learning K Prony methods L Adaptive sensing M Dictionary learning
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Please click on the session titles to reach the detailed program for each of the poster sessions.

### Poster Session 1 - Monday, July 6, 14:30-16:30Theoretical Aspects of Sparsity

Changed:
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 A 1013;1071;1088;1120;1143 B 1036;1070 C 1031;1032;1033;1058;1072;1080 D 1087;1097;1112;1145 I 12;1016;1024;1029;1039;1041;1046;1061;1073;1085;1092;1104;1113;1131 K 1110
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 A 1013;1071;1088;1120;1143 B 1036;1070 C 1031;1032;1033;1058;1072;1080;1136 D 1087;1097;1112;1145 I 12;1016;1024;1029;1039;1041;1046;1061;1073;1085;1092;1104;1113;1131 K 1110

### Poster Session 2 - Wednesday, July 8, 14:30-16:30 Structured Sparsity and Adaptive Methods

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 G 1018;1034 H 1067;1074;1084;1095;1096;1108;1109;1142 I 1051;1052 J 5;1037;1044;1053;1090;1148 L 1021;1063;1126;1149 M 7;9;13;1026;1040;1045;1050;1057;1060;1086;1093;1100;1114
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 G 1018;1034 H 1067;1074;1084;1095;1096;1108;1109;1141;1142 I 1051;1052 J 5;1037;1044;1053;1090;1148 L 1021;1063;1126;1149 M 7;9;13;1026;1040;1045;1050;1057;1060;1086;1093;1100;1114

### Poster Session 3 - Thursday, July 9, 14:50-16:50Applications of Sparsity

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 E 6;11;1017;1019;1035;1030;1038;1049;1055;1064;1078;1082;1089;1098;1107;1116;1118;1122;1123;1127;1132;1133;1135;1136;1137
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 E 11;1017;1019;1030;1035;1038;1049;1064;1078;1082;1089;1098;1107;1116;1118;1122;1123;1127;1132;1133;1135;1137

 META FILEATTACHMENT attachment="466.jpg" attr="" comment="Robinson Ausitorium 1" date="1420035990" name="466.jpg" path="466.jpg" size="8617" user="ngk10" version="1" attachment="auditorium5.jpg" attr="" comment="Robinson Auditorium 2" date="1420036068" name="auditorium5.jpg" path="auditorium5.jpg" size="8444" user="ngk10" version="1"
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 Code Topic A Iterative thresholding B CS / Nullspace / RIP methods C Support recovery D Low-rank matrix methods E Applications - denoising / deconvolution etc F not used G Least squares H Structured sparsity I L1 vs Lp norms & reweighting J Sparse classifiers & machine learning K Prony methods L Adaptive sensing M Dictionary learning
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### Poster Session 1 - Monday, July 6, 14:30-16:30Theoretical Aspects of Sparsity

 A 1013;1071;1088;1120;1143 B 1036;1070 C 1031;1032;1033;1058;1072;1080 D 1087;1097;1112;1145 I 12;1016;1024;1029;1039;1041;1046;1061;1073;1085;1092;1104;1113;1131 K 1110
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### Poster Session 2 - Wednesday, July 8, 14:30-16:30 Structured Sparsity and Adaptive Methods

 G 1018;1034 H 1067;1074;1084;1095;1096;1108;1109;1142 I 1051;1052 J 5;1037;1044;1053;1090;1148 L 1021;1063;1126;1149 M 7;9;13;1026;1040;1045;1050;1057;1060;1086;1093;1100;1114
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### Poster Session 3 - Thursday, July 9, 14:50-16:50Applications of Sparsity

 E 6;11;1017;1019;1035;1030;1038;1049;1055;1064;1078;1082;1089;1098;1107;1116;1118;1122;1123;1127;1132;1133;1135;1136;1137
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 Code Topic A Iterative thresholding B CS / Nullspace / RIP methods C Support recovery D Low-rank matrix methods E Applications - denoising / deconvolution etc F not used G Least squares H Structured sparsity I L1 vs Lp norms & reweighting J Sparse classifiers & machine learning K Prony methods L Adaptive sensing M Dictionary learning

### Poster Session 1 - Monday, July 6, 14:30-16:30Theoretical Aspects of Sparsity

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 A 1013;1071;1120;1143 B 1036;1070 C 1031;1032;1033;1058;1072;1080 D 1087;1097;1112;1145 I 12;1016;1024;1029;1039;1041;1046;1061;1073;1085;1092;1104;1113;1131 K 1110
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 A 1013;1071;1088;1120;1143 B 1036;1070 C 1031;1032;1033;1058;1072;1080 D 1087;1097;1112;1145 I 12;1016;1024;1029;1039;1041;1046;1061;1073;1085;1092;1104;1113;1131 K 1110

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### Poster Session 3 - Thursday, July 9, 14:50-16:50Applications of Sparsity

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 E 6;11;1017;1019;1035;1030;1038;1049;1055;1064;1078;1082;1088;1089;1098;1107;1116;1118;1122;1123;1127;1132;1133;1135;1136;1137
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 E 6;11;1017;1019;1035;1030;1038;1049;1055;1064;1078;1082;1089;1098;1107;1116;1118;1122;1123;1127;1132;1133;1135;1136;1137

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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College

### Tuesday, July 7.

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 TBD TBD 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Bubacarr Bah Model Expander Iterative Hard Thresholding (1059) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet/ Nelly Pustelnik An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
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There will be three poster sessions of 2 hours, during the afternoons of 6th, 8th and 9th July. Approximately 30 posters will be presented at each session according to broad subject groupings, as shown near the end of this webpage.

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## Talks

### Monday, July 6.

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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College
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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College

### Tuesday, July 7.

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 TBD TBD 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 Jean-Christophe Pesquet/ Nelly Pustelnik An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Self-Expressive Clustering of Binary Data via Group Sparsity (1053) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:40 Coffee Break 16:40 - 18:00 Chair: 16:40 - 17:00 talk 23 Jean-Christophe Pesquet/ Nelly Pustelnik An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:40 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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Papers will be grouped into the following topics at the three poster sessions, and are listed below by paper identification numbers:
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Papers will be grouped into the following topics at the three poster sessions, and are listed below by paper identification numbers (a full poster program will be published soon):

 Code Topic A Iterative thresholding B CS / Nullspace / RIP methods C Support recovery D Low-rank matrix methods E Applications - denoising / deconvolution etc F not used G Least squares H Structured sparsity I L1 vs Lp norms & reweighting J Sparse classifiers & machine learning K Prony methods L Adaptive sensing M Dictionary learning
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### Poster Session 1 - Monday, July 6, 14:30-16:30Theoretical Aspects of Sparsity

 A 1013;1071;1120;1143 B 1036;1070 C 1031;1032;1033;1058;1072;1080 D 1087;1097;1112;1145 I 12;1016;1024;1029;1039;1041;1046;1061;1073;1085;1092;1104;1113;1131 K 1110
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### Poster Session 2 - Wednesday, July 8, 14:30-16:30 Structured Sparsity and Adaptive Methods

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 G 1018;1034 H 1067;1074;1084;1095;1096;1108;1109;1142 I 1051;1052 J 5;1037;1044;1090;1148 L 1021;1063;1126;1149 M 7;9;13;1026;1040;1045;1050;1057;1060;1086;1093;1100;1114
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 G 1018;1034 H 1067;1074;1084;1095;1096;1108;1109;1142 I 1051;1052 J 5;1037;1044;1053;1090;1148 L 1021;1063;1126;1149 M 7;9;13;1026;1040;1045;1050;1057;1060;1086;1093;1100;1114

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### Poster Session 3 - Thursday, July 9, 14:50-16:50Applications of Sparsity

 E 6;11;1017;1019;1035;1030;1038;1049;1055;1064;1078;1082;1088;1089;1098;1107;1116;1118;1122;1123;1127;1132;1133;1135;1136;1137
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 Jean-Christophe Pesquet/ Nelly Pustelnik An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Self-Expressive Clustering of Binary Data via Group Sparsity (1053) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs (1124) 10:30 - 10:50 talk 28 Amit Singer Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
>
>
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs (1124) 10:30 - 10:50 talk 28 Joakim Anden Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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### Monday, July 6.

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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) 18:30 Reception at Robinson College
>
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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion (1091) 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) (1102) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning (10) 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) (4) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) (1103) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data (1022) 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) (1144) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) (1027) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) (1111) 18:30 Reception at Robinson College

### Tuesday, July 7.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density (1048) 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) (1025) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing (1062) 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) (1043) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) (1047) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization (1028) 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery (1125) 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis (1056) 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI Since Sparse '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM 17:00 - 17:20 talk 24 Christoph Studer Self-Expressive Clustering of Binary Data via Group Sparsity 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI since SPARS '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion (1146) 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices (1119) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums (1128) 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis (1129) 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing (1139) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 Jean-Christophe Pesquet/ Nelly Pustelnik An Epigraphic Splitting Technique for Sparse Multiclass SVM (1121) 17:00 - 17:20 talk 24 Christoph Studer Self-Expressive Clustering of Binary Data via Group Sparsity (1053) 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform (1066) 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions (1055)

### Thursday, July 9.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs 10:30 - 10:50 talk 28 Amit Singer Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
>
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs (1124) 10:30 - 10:50 talk 28 Amit Singer Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification (1140) 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing (1042) 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise (1054) 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs (1015) 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms (2) 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

## Poster Sessions

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# Program (provisional)

The provisional program of the workshop can be found below. The presenting author and title of each oral paper are listed.

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All talks will be held in the Auditorium lecture theatre at Robinson College.

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There will be three poster sessions of 2 hours, during the afternoons of 6th, 8th and 9th July. Approximately 30 posters will be presented at each session according to broad subject groupings.
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There will be three poster sessions of 2 hours, during the afternoons of 6th, 8th and 9th July. Approximately 30 posters will be presented at each session according to broad subject groupings, as shown near the end of this webpage.

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### Thursday, July 9.

 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs 10:30 - 10:50 talk 28 Amit Singer Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
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## Poster Sessions

Papers will be grouped into the following topics at the three poster sessions, and are listed below by paper identification numbers:

 Code Topic A Iterative thresholding B CS / Nullspace / RIP methods C Support recovery D Low-rank matrix methods E Applications - denoising / deconvolution etc F not used G Least squares H Structured sparsity I L1 vs Lp norms & reweighting J Sparse classifiers & machine learning K Prony methods L Adaptive sensing M Dictionary learning

### Theoretical Aspects of Sparsity

 A 1013;1071;1120;1143 B 1036;1070 C 1031;1032;1033;1058;1072;1080 D 1087;1097;1112;1145 I 12;1016;1024;1029;1039;1041;1046;1061;1073;1085;1092;1104;1113;1131 K 1110

### Structured Sparsity and Adaptive Methods

 G 1018;1034 H 1067;1074;1084;1095;1096;1108;1109;1142 I 1051;1052 J 5;1037;1044;1090;1148 L 1021;1063;1126;1149 M 7;9;13;1026;1040;1045;1050;1057;1060;1086;1093;1100;1114

### Applications of Sparsity

 E 6;11;1017;1019;1035;1030;1038;1049;1055;1064;1078;1082;1088;1089;1098;1107;1116;1118;1122;1123;1127;1132;1133;1135;1136;1137

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### Wednesday, July 8.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI Since Sparse '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion 10:30 - 10:50 talk 19 TBD A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM 17:00 - 17:20 talk 24 Christoph Studer Self-Expressive Clustering of Binary Data via Group Sparsity 17:20 - 17:40 talk 25 TBD Robust Principal Component Analysis On Graphs 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions
>
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI Since Sparse '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion 10:30 - 10:50 talk 19 Michael Wakin A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM 17:00 - 17:20 talk 24 Christoph Studer Self-Expressive Clustering of Binary Data via Group Sparsity 17:20 - 17:40 talk 25 Yonina Eldar Phase Retrieval for Short-Time Fourier Transform 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions

### Thursday, July 9.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs 10:30 - 10:50 talk 28 Amit Singer Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise 12:00 - 12:20 talk 31 TBD Phase Retrieval for Short-Time Fourier Transform 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs 10:30 - 10:50 talk 28 Amit Singer Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise 12:00 - 12:20 talk 31 Nauman Shahid Robust Principal Component Analysis On Graphs 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

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## Program (provisional)

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The provisional program of the workshop can be found below. The presenting author and title of each oral paper are listed.

TBD = 'to be determined'.

(s) = a paper shortlisted for the 'Best Student Paper Award'. The quality of presentation will be taken into account when the committee are selecting the award-winning paper, which will be announced at the Banquet on 7th July.

All talks will be held in the Auditorium lecture theatre at Robinson College.

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The Student Best Paper Award has not yet been awarded.
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There will be three poster sessions of 2 hours, during the afternoons of 6th, 8th and 9th July. Approximately 30 posters will be presented at each session according to broad subject groupings.

### Monday, July 6.

Changed:
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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere 18:30 Reception at Robinson College
>
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 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? (s) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization (s) 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints (s) 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels (s) 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity (s) 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere (s) 18:30 Reception at Robinson College

### Tuesday, July 7.

Changed:
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 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.
>
>
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems (s) 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity (s) 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints (s) 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

Changed:
<
<
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI Since Sparse '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion 10:30 - 10:50 talk 19 TBD A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM 17:00 - 17:20 talk 24 Christoph Studer Self-Expressive Clustering of Binary Data via Group Sparsity 17:20 - 17:40 talk 25 TBD Robust Principal Component Analysis On Graphs 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions
>
>
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI Since Sparse '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion 10:30 - 10:50 talk 19 TBD A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM 17:00 - 17:20 talk 24 Christoph Studer Self-Expressive Clustering of Binary Data via Group Sparsity 17:20 - 17:40 talk 25 TBD Robust Principal Component Analysis On Graphs 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions

### Thursday, July 9.

Changed:
<
<
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs 10:30 - 10:50 talk 28 Amit Singer Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise 12:00 - 12:20 talk 31 TBD Phase Retrieval for Short-Time Fourier Transform 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
>
>
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs 10:30 - 10:50 talk 28 Amit Singer Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise 12:00 - 12:20 talk 31 TBD Phase Retrieval for Short-Time Fourier Transform 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

 META FILEATTACHMENT attachment="466.jpg" attr="" comment="Robinson Ausitorium 1" date="1420035990" name="466.jpg" path="466.jpg" size="8617" user="ngk10" version="1" attachment="auditorium5.jpg" attr="" comment="Robinson Auditorium 2" date="1420036068" name="auditorium5.jpg" path="auditorium5.jpg" size="8444" user="ngk10" version="1"
Revision 8
29 May 2015 - ngk10
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## Program (provisional)

Changed:
<
<
The provisional program of the workshop can be found below. The list of accepted papers is not available yet.
>
>
The provisional program of the workshop can be found below.

All talks will be held in the Auditorium lecture theatre at Robinson College.

The Student Best Paper Award has not yet been awarded.

### Monday, July 6.

Changed:
<
<
 08:30 Registration opens 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 10:10 - 10:30 talk 1 10:30 - 10:50 talk 2 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 11:40 - 12:00 talk 4 12:00 - 12:20 talk 5 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 talk 6 17:00 - 17:20 talk 7 17:20 - 17:40 talk 8 17:40 - 18:00 talk 9 18:30 Reception at Robinson College
>
>
 08:30 Registration 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 Gabriel Peyré Exact Support Recovery for Sparse Spikes Deconvolution 10:10 - 10:30 talk 1 Jared Tanner CGIHT for compressed sensing and matrix completion 10:30 - 10:50 talk 2 Le Zheng Lp-minimization Does Not Necessarily Outperform L1-minimization? 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 Karin Schnass An iterative thresholding and K residual means algorithm for dictionary learning 11:40 - 12:00 talk 4 Luc Le Magoarou Multi-layer Sparse Matrix Factorization 12:00 - 12:20 talk 5 Bo Xin Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 Zoubin Ghahramani Machine Learning and Sparsity 14:30 - 16:30 Posters 1 Theoretical aspects of Sparsity 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 6 Ben Adcock Infinite-dimensional $\ell^1$ minimization and function approximation from pointwise data 17:00 - 17:20 talk 7 Alexander Bastounis On structured sampling and the Restricted Isometry Property in Levels 17:20 - 17:40 talk 8 Marwa El Halabi A totally unimodular view of structured sparsity 17:40 - 18:00 talk 9 Ju Sun Complete Dictionary Recovery over the Sphere 18:30 Reception at Robinson College

### Tuesday, July 7.

>
>
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 Roman Vershynin Recovering the hidden structure of sparse networks 10:10 - 10:30 talk 10 Christoph Studer Nullspace Condition, Uncertainty Relation, and Recovery Guarantee for Signals with Low Density 10:30 - 10:50 talk 11 Michael Andersen Spatio-temporal spike and slab priors for MMV problems 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 Chunli Guo Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing 11:40 - 12:00 talk 13 Shuyang Ling Self-calibration via biconvex optimization and sparsity 12:00 - 12:20 talk 14 Yanjun Li Identifiability of blind deconvolution with subspace or sparsity constraints 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 Maryam Fazel TBD 14:30 - 14:50 talk 15 Mario Figueiredo Linear Regression with Strongly Correlated Designs Using Ordered Weighted l1 Regularization 14:50 - 15:10 talk 16 M. Salman Asif Calibration-Free Accelerated Dynamic MRI based on Low-Rank Matrix Recovery 15:10 - 15:30 talk 17 Matthieu Kowalski Low-Rank Time-Frequency Synthesis 15:30 - 16:00 Coffee Break 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture Emmanuel Candès Modern Optimization Meets Physics: Recent Progress on the Phase Retrieval Problem 19:15 Banquet in the Great Hall, Trinity College.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 10:10 - 10:30 talk 10 10:30 - 10:50 talk 11 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 11:40 - 12:00 talk 13 12:00 - 12:20 talk 14 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 14:30 - 14:50 talk 15 14:50 - 15:10 talk 16 15:10 - 15:30 talk 17 15:30 - 16:00 Coffee Break (Provided) 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture by Emmanuel Candes 19:15 Banquet in the Great Hall, Trinity College.
>
>

### Wednesday, July 8.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 10:10 - 10:30 talk 18 10:30 - 10:50 talk 19 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 11:40 - 12:00 talk 21 12:00 - 12:20 talk 22 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 17:00 - 17:20 talk 24 17:20 - 17:40 talk 25 17:40 - 18:00 talk 26
>
>
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 Michael Lustig Sparse MRI Since Sparse '05 10:10 - 10:30 talk 18 Laura Balzano Polar Incremental Matrix Completion 10:30 - 10:50 talk 19 TBD A Low-Rank Model for Recovering Non-Transitive Pairwise Comparison Matrices 10:50 - 11:20 Coffee break 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 Ulrich Von der Ohe A Prony method for bivariate exponential sums 11:40 - 12:00 talk 21 Yue Lu Sparsity according to Prony, average performance analysis 12:00 - 12:20 talk 22 TBD Constrained adaptive sensing 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 Justin Romberg Structured recovery for imaging and image processing 14:30 - 16:30 Posters 2 Structured Sparsity and Adaptive Methods 16:00 - 16:30 Coffee Break 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 Jean-Christophe Pesquet An Epigraphic Splitting Technique for Sparse Multiclass SVM 17:00 - 17:20 talk 24 Christoph Studer Self-Expressive Clustering of Binary Data via Group Sparsity 17:20 - 17:40 talk 25 TBD Robust Principal Component Analysis On Graphs 17:40 - 18:00 talk 26 Gongguo Tang Resolution Limits for Atomic Decompositions

### Thursday, July 9.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 10:10 - 10:30 talk 27 10:30 - 10:50 talk 28 10:50 - 11:20 Coffee break (Provided) 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 11:40 - 12:00 talk 30 12:00 - 12:20 talk 31 12:20 - 12:40 talk 32 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 14:50 - 16:50 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
>
>
 08:30 Registration 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 Venkat Chandrasekaran 10:10 - 10:30 talk 27 Sjoerd Dirksen Sparse sketches of constrained least squares programs 10:30 - 10:50 talk 28 Amit Singer Estimating low-rank covariance matrices using sparse projectors for Cryo-EM classification 10:50 - 11:20 Coffee break 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 TBD Minimax Optimal Rates for Poisson Compressed Sensing 11:40 - 12:00 talk 30 Vincent Duval The lasso yields pairs of spikes at low noise 12:00 - 12:20 talk 31 TBD Phase Retrieval for Short-Time Fourier Transform 12:20 - 12:40 talk 32 Yaniv Romano SOS Boosting of Image Denoising Algorithms 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 Martin Wainwright Randomized algorithms for high-dimensional optimization: Statistical and computational guarantees 14:50 - 16:50 Posters 3 Applications of Sparsity 16:00 - 16:30 Coffee Break 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

 META FILEATTACHMENT attachment="466.jpg" attr="" comment="Robinson Ausitorium 1" date="1420035990" name="466.jpg" path="466.jpg" size="8617" user="ngk10" version="1" attachment="auditorium5.jpg" attr="" comment="Robinson Auditorium 2" date="1420036068" name="auditorium5.jpg" path="auditorium5.jpg" size="8444" user="ngk10" version="1"
Revision 7
28 May 2015 - ngk10
Line: 1 to 1

 META TOPICPARENT name="WebHome"

Changed:
<
<

>
>

## Program (provisional)

Changed:
<
<
The provisional program of the workshop can be found below. The list of accepted papers is not available yet.
>
>
The provisional program of the workshop can be found below. The list of accepted papers is not available yet.

All talks will be held in the Auditorium lecture theatre at Robinson College.

The Student Best Paper Award has not yet been awarded.

### Monday, July 6.

Changed:
<
<
 08:30 Registration opens 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 10:10 - 10:30 talk 1 10:30 - 10:50 talk 2 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 11:40 - 12:00 talk 4 12:00 - 12:20 talk 5 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 talk 6 17:00 - 17:20 talk 7 17:20 - 17:40 talk 8 17:40 - 18:00 talk 9 18:30 Reception at Robinson College
>
>
 08:30 Registration opens 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 10:10 - 10:30 talk 1 10:30 - 10:50 talk 2 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 11:40 - 12:00 talk 4 12:00 - 12:20 talk 5 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 talk 6 17:00 - 17:20 talk 7 17:20 - 17:40 talk 8 17:40 - 18:00 talk 9 18:30 Reception at Robinson College

### Tuesday, July 7.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 10:10 - 10:30 talk 10 10:30 - 10:50 talk 11 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 11:40 - 12:00 talk 13 12:00 - 12:20 talk 14 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 14:30 - 14:50 talk 15 14:50 - 15:10 talk 16 15:10 - 15:30 talk 17 15:30 - 16:00 Coffee Break (Provided) 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture by Emmanuel Candes 19:15 Banquet in the Great Hall, Trinity College.
>
>
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 10:10 - 10:30 talk 10 10:30 - 10:50 talk 11 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 11:40 - 12:00 talk 13 12:00 - 12:20 talk 14 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 14:30 - 14:50 talk 15 14:50 - 15:10 talk 16 15:10 - 15:30 talk 17 15:30 - 16:00 Coffee Break (Provided) 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture by Emmanuel Candes 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 10:10 - 10:30 talk 18 10:30 - 10:50 talk 19 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 11:40 - 12:00 talk 21 12:00 - 12:20 talk 22 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 17:00 - 17:20 talk 24 17:20 - 17:40 talk 25 17:40 - 18:00 talk 26
>
>
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 10:10 - 10:30 talk 18 10:30 - 10:50 talk 19 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 11:40 - 12:00 talk 21 12:00 - 12:20 talk 22 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 17:00 - 17:20 talk 24 17:20 - 17:40 talk 25 17:40 - 18:00 talk 26

### Thursday, July 9.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 10:10 - 10:30 talk 27 10:30 - 10:50 talk 28 10:50 - 11:20 Coffee break (Provided) 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 11:40 - 12:00 talk 30 12:00 - 12:20 talk 31 12:20 - 12:40 talk 32 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 14:50 - 16:50 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart
>
>
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 10:10 - 10:30 talk 27 10:30 - 10:50 talk 28 10:50 - 11:20 Coffee break (Provided) 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 11:40 - 12:00 talk 30 12:00 - 12:20 talk 31 12:20 - 12:40 talk 32 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 14:50 - 16:50 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

 META FILEATTACHMENT attachment="466.jpg" attr="" comment="Robinson Ausitorium 1" date="1420035990" name="466.jpg" path="466.jpg" size="8617" user="ngk10" version="1" attachment="auditorium5.jpg" attr="" comment="Robinson Auditorium 2" date="1420036068" name="auditorium5.jpg" path="auditorium5.jpg" size="8444" user="ngk10" version="1"
Revision 6
22 May 2015 - ngk10
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 META TOPICPARENT name="WebHome"
Line: 13 to 13
The Student Best Paper Award has not yet been awarded.

### Monday, July 6.

Changed:
<
<
 08:30 Registration opens 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 10:10 - 10:30 talk 1 10:30 - 10:50 talk 2 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 11:40 - 12:00 talk 4 12:00 - 12:20 talk 5 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 1 17:00 - 17:20 talk 6 17:20 - 17:40 talk 7 17:40 - 18:00 talk 8 18:30 Reception at Robinson College
>
>
 08:30 Registration opens 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 10:10 - 10:30 talk 1 10:30 - 10:50 talk 2 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 11:40 - 12:00 talk 4 12:00 - 12:20 talk 5 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 talk 6 17:00 - 17:20 talk 7 17:20 - 17:40 talk 8 17:40 - 18:00 talk 9 18:30 Reception at Robinson College

### Tuesday, July 7.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 10:10 - 10:30 talk 9 10:30 - 10:50 talk 10 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 11 11:40 - 12:00 talk 12 12:00 - 12:20 talk 13 12:00 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 14:30 - 14:50 talk 14 14:50 - 15:10 talk 15 15:10 - 15:30 talk 16 15:30 - 16:00 Coffee Break (Provided) 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture by Emmanuel Candes 19:15 Banquet in the Great Hall, Trinity College.
>
>
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 10:10 - 10:30 talk 10 10:30 - 10:50 talk 11 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 12 11:40 - 12:00 talk 13 12:00 - 12:20 talk 14 12:30 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 14:30 - 14:50 talk 15 14:50 - 15:10 talk 16 15:10 - 15:30 talk 17 15:30 - 16:00 Coffee Break (Provided) 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture by Emmanuel Candes 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 10:10 - 10:30 talk 17 10:30 - 10:50 talk 18 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 19 11:40 - 12:00 talk 20 12:00 - 12:20 talk 21 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 2 17:00 - 17:20 talk 22 17:20 - 17:40 talk 23 17:40 - 18:00 talk 24
>
>
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 10:10 - 10:30 talk 18 10:30 - 10:50 talk 19 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 20 11:40 - 12:00 talk 21 12:00 - 12:20 talk 22 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 talk 23 17:00 - 17:20 talk 24 17:20 - 17:40 talk 25 17:40 - 18:00 talk 26

### Thursday, July 9.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 10:10 - 10:30 talk 25 10:30 - 10:50 talk 26 10:50 - 11:20 Coffee break (Provided) 11:00 - 12:00 Chair: 11:00 - 11:20 talk 27 11:20 - 11:40 talk 28 11:40 - 12:00 talk 29 12:00 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 8 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 3 17:00 - 17:20 Closing remarks
>
>
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 10:10 - 10:30 talk 27 10:30 - 10:50 talk 28 10:50 - 11:20 Coffee break (Provided) 11:00 - 12:00 Chair: 11:20 - 11:40 talk 29 11:40 - 12:00 talk 30 12:00 - 12:20 talk 31 12:20 - 12:40 talk 32 12:50 - 13:50 Lunch break (Provided) 13:30 - 14:30 Chair: 13:50 - 14:50 Plenary talk 8 14:50 - 16:50 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:50 - 17:30 Chair: 16:50 - 17:30 Closing remarks 17:30 Depart

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Revision 5
31 Dec 2014 - ngk10
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 META TOPICPARENT name="WebHome"
>
>

## Program

The provisional program of the workshop can be found below. The list of accepted papers is not available yet.

Line: 20 to 23

### Thursday, July 9.

 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 10:10 - 10:30 talk 25 10:30 - 10:50 talk 26 10:50 - 11:20 Coffee break (Provided) 11:00 - 12:00 Chair: 11:00 - 11:20 talk 27 11:20 - 11:40 talk 28 11:40 - 12:00 talk 29 12:00 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 8 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 3 17:00 - 17:20 Closing remarks
>
>
 META FILEATTACHMENT attachment="466.jpg" attr="" comment="Robinson Ausitorium 1" date="1420035990" name="466.jpg" path="466.jpg" size="8617" user="ngk10" version="1" attachment="auditorium5.jpg" attr="" comment="Robinson Auditorium 2" date="1420036068" name="auditorium5.jpg" path="auditorium5.jpg" size="8444" user="ngk10" version="1" attachment="Trinity_Great_Hall.png" attr="" comment="Great Hall of Trinity College" date="1420036184" name="Trinity_Great_Hall.png" path="Trinity Great Hall.png" size="715512" user="ngk10" version="1" attachment="TrinityGreatHall_sml.png" attr="" comment="Great Hall of Trinity College" date="1420036559" name="TrinityGreatHall_sml.png" path="TrinityGreatHall_sml.png" size="216615" user="ngk10" version="1"

 META TOPICMOVED by="pr374" date="1403107718" from="SPARS2015.Programs" to="SPARS2015.Program"
Revision 4
29 Oct 2014 - ngk10
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 META TOPICPARENT name="WebHome"

## Program

Changed:
<
<
The tentative program of the workshop can be found below. The list of accepted papers is not available yet.
>
>
The provisional program of the workshop can be found below. The list of accepted papers is not available yet.

All talks will be held in the Auditorium lecture theatre at Robinson College.

Line: 13 to 13

 08:30 Registration opens 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 10:10 - 10:30 talk 1 10:30 - 10:50 talk 2 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 11:40 - 12:00 talk 4 12:00 - 12:20 talk 5 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 1 17:00 - 17:20 talk 6 17:20 - 17:40 talk 7 17:40 - 18:00 talk 8 18:30 Reception at Robinson College

### Tuesday, July 7.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 10:10 - 10:30 talk 9 10:30 - 10:50 talk 10 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 11 11:40 - 12:00 talk 12 12:00 - 12:20 talk 13 12:00 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 14:30 - 14:50 talk 14 14:50 - 15:10 talk 15 15:10 - 15:30 talk 16 15:30 - 16:00 Coffee Break (Provided) 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture by Emmanuel Candes 19:15 Banquet in the Great Hall, Trinity College.
>
>
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 10:10 - 10:30 talk 9 10:30 - 10:50 talk 10 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 11 11:40 - 12:00 talk 12 12:00 - 12:20 talk 13 12:00 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 14:30 - 14:50 talk 14 14:50 - 15:10 talk 15 15:10 - 15:30 talk 16 15:30 - 16:00 Coffee Break (Provided) 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture by Emmanuel Candes 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 10:10 - 10:30 talk 17 10:30 - 10:50 talk 18 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 19 11:40 - 12:00 talk 20 12:00 - 12:20 talk 21 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 2 17:00 - 17:20 talk 22 17:20 - 17:40 talk 23 17:40 - 18:00 talk 24
Revision 3
17 Sep 2014 - ngk10
Line: 1 to 1

 META TOPICPARENT name="WebHome"

## Program

The tentative program of the workshop can be found below. The list of accepted papers is not available yet.

Changed:
<
<
All talks will be held in the Auditorium lecture theatre at Robinson College.
>
>
All talks will be held in the Auditorium lecture theatre at Robinson College.

The Student Best Paper Award has not yet been awarded.

### Monday, July 6.

Changed:
<
<
 08:30 Registration opens 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 10:10 - 10:30 talk 1 10:30 - 10:50 talk 2 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 11:40 - 12:00 talk 4 12:00 - 12:20 talk 5 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 1 17:00 - 17:20 talk 6 17:20 - 17:40 talk 7 17:40 - 18:00 talk 8 18:30 Reception at
>
>
 08:30 Registration opens 09:00 - 09:10 Opening remarks 09:10 - 10:30 Chair: 09:10 - 10:10 Plenary talk 1 10:10 - 10:30 talk 1 10:30 - 10:50 talk 2 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 3 11:40 - 12:00 talk 4 12:00 - 12:20 talk 5 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 2 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 1 17:00 - 17:20 talk 6 17:20 - 17:40 talk 7 17:40 - 18:00 talk 8 18:30 Reception at Robinson College

### Tuesday, July 7.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 10:10 - 10:30 talk 9 10:30 - 10:50 talk 10 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 11 11:40 - 12:00 talk 12 12:00 - 12:20 talk 13 12:00 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 14:30 - 14:50 talk 14 14:50 - 15:10 talk 15 15:10 - 15:30 talk 16 15:30 - 16:00 Coffee Break (Provided) 16:00 - 17:30 Chair: 16:00 - 18:00 Special Lecture by Emmanuel Candes
>
>

 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 3 10:10 - 10:30 talk 9 10:30 - 10:50 talk 10 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 11 11:40 - 12:00 talk 12 12:00 - 12:20 talk 13 12:00 - 13:30 Lunch break (Provided) 13:30 - 15:30 Chair: 13:30 - 14:30 Plenary talk 4 14:30 - 14:50 talk 14 14:50 - 15:10 talk 15 15:10 - 15:30 talk 16 15:30 - 16:00 Coffee Break (Provided) 16:00 - 18:00 Chair: 16:00 - 18:00 Special Lecture by Emmanuel Candes 19:15 Banquet in the Great Hall, Trinity College.

### Wednesday, July 8.

Changed:
<
<
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 10:10 - 10:30 talk 17 10:30 - 10:50 talk 18 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 19 11:40 - 12:00 talk 20 12:00 - 12:20 talk 21 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 2 17:00 - 17:20 talk 22 17:20 - 17:40 talk 23 17:40 - 18:00 talk 24 19:15 Banquet at ??? College
>
>
 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 5 10:10 - 10:30 talk 17 10:30 - 10:50 talk 18 10:50 - 11:20 Coffee break (Provided) 11:20 - 12:20 Chair: 11:20 - 11:40 talk 19 11:40 - 12:00 talk 20 12:00 - 12:20 talk 21 12:30 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 6 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 2 17:00 - 17:20 talk 22 17:20 - 17:40 talk 23 17:40 - 18:00 talk 24

### Thursday, July 9.

 08:30 Registration opens 09:00 - 10:50 Chair: 09:00 - 10:00 Plenary talk 7 10:10 - 10:30 talk 25 10:30 - 10:50 talk 26 10:50 - 11:20 Coffee break (Provided) 11:00 - 12:00 Chair: 11:00 - 11:20 talk 27 11:20 - 11:40 talk 28 11:40 - 12:00 talk 29 12:00 - 13:30 Lunch break (Provided) 13:30 - 14:30 Chair: 13:30 - 14:30 Plenary talk 8 14:30 - 16:30 Poster/DEMO sessions 16:00 - 16:30 Coffee Break (Provided) 16:30 - 18:00 Chair: 16:30 - 17:00 Highlight talk 3 17:00 - 17:20 Closing remarks
Revision 2
25 Jun 2014 - ngk10
Line: 1 to 1

 META TOPICPARENT name="WebHome"