Sparse Representations, Numerical Linear Algebra, and Optimization

Videos from BIRS Workshop 14w5003

, UC San Diego
- 17:29
Random encoding of quantized frame coefficients and compressed sensing measurements
Watch video | Download video: 201410061701-Saab.mp4 (97M)
, Charles University in Prague
- 11:03
Sparsity, local and global information in numerical solution of PDEs, part 1
Watch video | Download video: 201410071034-Strakos.mp4 (79M)
, Technical University of Berlin
- 11:36
Sparsity, local and global information in numerical solution of PDEs, part 2
Watch video | Download video: 201410071103-Liesen.mp4 (81M)
, University of Duisburg-Essen
- 10:01
Preconditioning for PDE-constrained optimization with sparse controls
Watch video | Download video: 201410080930-Schultz.mp4 (85M)
, University of Duisburg-Essen
- 10:01
Preconditioning for PDE-constrained optimization with sparse controls
Watch video | Download video: 201410080930-Stoll.mp4 (85M)
, California Institute of Technology
- 09:30
Relative Entropy Relaxations for Signomial Optimization
Watch video | Download video: 201410090903-Chadrasekaran.mp4 (70M)
, University of British Columbia
- 16:03
Minimizing finite sums with the stochastic average gradient
Watch video | Download video: 201410091534-Schmidt.mp4 (80M)
, University of British Columbia
- 09:36
Low-rank based matrix/tensor completions for the “real” (seismic) world
Watch video | Download video: 201410100901-Herrmann.mp4 (93M)
, IBM TJ Watson Research Center
- 10:01
A hybrid quasi-Newton projected-gradient method with application to Lasso and basis-pursuit denoise
Watch video | Download video: 201410100936-vandenBerg.mp4 (65M)
, Mines ParisTech
- 11:03
New matrix norms for structured matrix estimation
Watch video | Download video: 201410101030-Vert.mp4 (95M)