Difference: Program (1 vs. 30)

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Poster Sessions

Please click here to reach the detailed programs for the three poster sessions.

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Downloads of Talks

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
>
>
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:

http://sigproc.eng.cam.ac.uk/spars2015pub

 

Talks

Monday, July 6.

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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 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:
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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)
>
>
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:
<
<
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

Revision 25
01 Jul 2015 - ngk10
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META TOPICPARENT name="WebHome"
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)
13:50 - 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

Revision 24
01 Jul 2015 - ngk10
Line: 1 to 1
 
META TOPICPARENT name="WebHome"
Line: 22 to 22
 
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
>
>
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

Revision 23
30 Jun 2015 - ngk10
Line: 1 to 1
 
META TOPICPARENT name="WebHome"
Line: 19 to 19
 

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 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.
Revision 22
30 Jun 2015 - ngk10
Line: 1 to 1
 
META TOPICPARENT name="WebHome"
Line: 27 to 27
 

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 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)
>
>
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
>
>
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
>
>
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

Revision 20
28 Jun 2015 - ngk10
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META TOPICPARENT name="WebHome"
Line: 27 to 27
 

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 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)
>
>
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 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
>
>
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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24 Jun 2015 - ngk10
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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.

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.
 
Changed:
<
<
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.
>
>
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.

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 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 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.
Line: 27 to 27
 

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 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)
>
>
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:
<
<
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
>
>
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

Changed:
<
<
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, 14:30-16:30
Theoretical 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, 14:50-16:50
Applications 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
>
>
Please click here to reach the detailed programs for the three poster sessions.
 

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META FILEATTACHMENT 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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Auditorium Lecture Theatre

Changed:
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<

Program (provisional)

>
>

Program (final)

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

Line: 14 to 14
 

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

Changed:
<
<
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.
>
>
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

Monday, July 6.

Line: 27 to 27
 

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 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)
>
>
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

Changed:
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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):
>
>
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

Added:
>
>

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

 

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

Changed:
<
<
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
>
>
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

Changed:
<
<
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
>
>
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, 14:50-16:50
Applications of Sparsity

Changed:
<
<
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
>
>
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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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

Changed:
<
<

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

>
>

Poster Session 1 - Monday, July 6, 14:30-16:30
Theoretical 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

Changed:
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<

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

>
>

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

Changed:
<
<

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

>
>

Poster Session 3 - Thursday, July 9, 14:50-16:50
Applications 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
Revision 16
07 Jun 2015 - ngk10
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META TOPICPARENT name="WebHome"
Line: 39 to 39
 
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, 14:30-16:30
Theoretical Aspects of Sparsity

Changed:
<
<
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
>
>
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
 

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

Line: 47 to 47
 

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

Changed:
<
<
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
>
>
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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META FILEATTACHMENT 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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META TOPICPARENT name="WebHome"
Line: 22 to 22
 
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.

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 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.
>
>
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.

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 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)
>
>
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
Revision 14
30 May 2015 - ngk10
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META TOPICPARENT name="WebHome"
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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.

Added:
>
>

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 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
>
>
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.

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 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.
>
>
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.

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 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)
>
>
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.

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 (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
>
>
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

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

Changed:
<
<

Poster Session 1 - Monday, July 6, 14:30-16:30

Theoretical Aspects of Sparsity

>
>

Poster Session 1 - Monday, July 6, 14:30-16:30
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

Changed:
<
<

Poster Session 2 - Wednesday, July 8, 14:30-16:30

Structured Sparsity and Adaptive Methods

>
>

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

 
Changed:
<
<
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
>
>
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
 

Changed:
<
<

Poster Session 3 - Thursday, July 9, 14:50-16:50

Applications of Sparsity

>
>

Poster Session 3 - Thursday, July 9, 14:50-16:50
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
Revision 13
30 May 2015 - ngk10
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META TOPICPARENT name="WebHome"
Line: 29 to 29
 
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:
<
<
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

Revision 12
29 May 2015 - ngk10
Line: 1 to 1
 
META TOPICPARENT name="WebHome"
Line: 18 to 18
 

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
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
>
>
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:
<
<
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.
>
>
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.

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 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
>
>
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:
<
<
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
>
>
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

Revision 11
29 May 2015 - ngk10
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META TOPICPARENT name="WebHome"

Auditorium Lecture Theatre

Changed:
<
<

Program (provisional)

>
>

Program (provisional)

 

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

Line: 14 to 14
 

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

Changed:
<
<
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.
>
>
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.
 

Monday, July 6.

Line: 30 to 30
 

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
Added:
>
>

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

Poster Session 1 - Monday, July 6, 14:30-16:30

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

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;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, 14:50-16:50

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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META FILEATTACHMENT 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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29 May 2015 - ngk10
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Line: 26 to 26
 

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 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:
<
<
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 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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Revision 9
29 May 2015 - ngk10
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META TOPICPARENT name="WebHome"
Line: 6 to 6
 

Program (provisional)

Changed:
<
<
The provisional program of the workshop can be found below.
>
>
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.

Changed:
<
<
The Student Best Paper Award has not yet been awarded.
>
>
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:
<
<
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
>
>
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:
<
<
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
 

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Revision 8
29 May 2015 - ngk10
Line: 1 to 1
 
META TOPICPARENT name="WebHome"
Line: 6 to 6
 

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.

Added:
>
>
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"
META FILEATTACHMENT 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"

Auditorium Lecture Theatre

Changed:
<
<

Program

>
>

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"
META FILEATTACHMENT 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
Line: 1 to 1
 
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
 

META FILEATTACHMENT attachment="466.jpg" attr="" comment="Robinson Ausitorium 1" date="1420035990" name="466.jpg" path="466.jpg" size="8617" user="ngk10" version="1"
META FILEATTACHMENT attachment="auditorium5.jpg" attr="" comment="Robinson Auditorium 2" date="1420036068" name="auditorium5.jpg" path="auditorium5.jpg" size="8444" user="ngk10" version="1"
Revision 5
31 Dec 2014 - ngk10
Line: 1 to 1
 
META TOPICPARENT name="WebHome"
Added:
>
>

Auditorium Lecture Theatre

 

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
Added:
>
>
META FILEATTACHMENT attachment="466.jpg" attr="" comment="Robinson Ausitorium 1" date="1420035990" name="466.jpg" path="466.jpg" size="8617" user="ngk10" version="1"
META FILEATTACHMENT attachment="auditorium5.jpg" attr="" comment="Robinson Auditorium 2" date="1420036068" name="auditorium5.jpg" path="auditorium5.jpg" size="8444" user="ngk10" version="1"
META FILEATTACHMENT 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"
META FILEATTACHMENT 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
Line: 1 to 1
 
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
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Program

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

 
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