Sparse Representations, Numerical Linear Algebra, and Optimization
Videos from BIRS Workshop
Rayan Saab, University of California San Diego
Monday Oct 6, 2014 17:01 - 17:29
Random encoding of quantized frame coefficients and compressed sensing measurements
Zdenek Strakos, Charles University, Prague
Tuesday Oct 7, 2014 10:34 - 11:03
Sparsity, local and global information in numerical solution of PDEs, part 1
Joerg Liesen, Technical University of Berlin
Tuesday Oct 7, 2014 11:03 - 11:36
Sparsity, local and global information in numerical solution of PDEs, part 2
Martin Stoll, Max Planck Institute Magdeburg
Wednesday Oct 8, 2014 09:30 - 10:00
Preconditioning for PDE-constrained optimization with sparse controls
Venkat Chandrasekaran, California Institute of Technology
Thursday Oct 9, 2014 09:03 - 09:30
Relative Entropy Relaxations for Signomial Optimization
Mark Schmidt, University of British Columbia
Thursday Oct 9, 2014 15:34 - 16:03
Minimizing finite sums with the stochastic average gradient
Felix Herrmann, Georgia Institute of Technology
Friday Oct 10, 2014 09:01 - 09:36
Low-rank based matrix/tensor completions for the “real” (seismic) world
Ewout van den Berg, IBM TJ Watson Research Center
Friday Oct 10, 2014 09:36 - 10:01
A hybrid quasi-Newton projected-gradient method with application to Lasso and basis-pursuit denoise
Jean-Philippe Vert, Mines ParisTech
Friday Oct 10, 2014 10:30 - 11:03
New matrix norms for structured matrix estimation
