Michael P Friedlander
Michael P Friedlander
Professor of Computer Science and Mathematics, University of British Columbia
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Probing the Pareto frontier for basis pursuit solutions
E van den Berg, MP Friedlander
SIAM Journal on Scientific Computing 31 (2), 890-912, 2008
SPGL1: A solver for large-scale sparse reconstruction
E van den Berg, MP Friedlander, 2007
Hybrid deterministic-stochastic methods for data fitting
MP Friedlander, M Schmidt
SIAM Journal on Scientific Computing 34 (3), A1380-A1405, 2012
Optimizing costly functions with simple constraints: A limited-memory projected quasi-Newton algorithm
M Schmidt, E van den Berg, MP Friedlander, K Murphy
Artificial Intelligence and Statistics, 456-463, 2009
Sparse optimization with least-squares constraints
E van den Berg, MP Friedlander
SIAM Journal on Optimization 21 (4), 1201-1229, 2011
Recovering compressively sampled signals using partial support information
MP Friedlander, H Mansour, R Saab, Ö Yilmaz
IEEE Transactions on Information Theory 58 (2), 1122-1134, 2011
Coordinate descent converges faster with the Gauss-Southwell rule than random selection
J Nutini, M Schmidt, I Laradji, MP Friedlander, H Koepke
International Conference on Machine Learning, 1632-1641, 2015
Satisfying real-world goals with dataset constraints
G Goh, A Cotter, M Gupta, MP Friedlander
Advances in Neural Information Processing Systems 29, 2016
Theoretical and empirical results for recovery from multiple measurements
E van den Berg, MP Friedlander
IEEE Transactions on Information Theory 56 (5), 2516-2527, 2010
A two-sided relaxation scheme for mathematical programs with equilibrium constraints
V DeMiguel, MP Friedlander, FJ Nogales, S Scholtes
SIAM Journal on Optimization 16 (2), 587-609, 2005
Exact regularization of convex programs
MP Friedlander, P Tseng
SIAM Journal on Optimization 18 (4), 1326-1350, 2008
Fighting the curse of dimensionality: Compressive sensing in exploration seismology
FJ Herrmann, MP Friedlander, O Yilmaz
IEEE Signal Processing Magazine 29 (3), 88-100, 2012
Group sparsity via linear-time projection
E van den Berg, M Schmidt, MP Friedlander, K Murphy
Dept. Comput. Sci., Univ. British Columbia, Vancouver, BC, Canada, 2008
Computing non-negative tensor factorizations
MP Friedlander, K Hatz
Optimisation Methods and Software 23 (4), 631-647, 2008
A primal–dual regularized interior-point method for convex quadratic programs
MP Friedlander, D Orban
Mathematical Programming Computation 4 (1), 71-107, 2012
Sparco: A testing framework for sparse reconstruction
E Van Den Berg, MP Friedlander, G Hennenfent, F Herrmann, R Saab, ...
Dept. Comput. Sci., Univ. British Columbia, Vancouver, Tech. Rep. TR-2007-20 …, 2007
Robust inversion, dimensionality reduction, and randomized sampling
A Aravkin, MP Friedlander, FJ Herrmann, T Van Leeuwen
Mathematical Programming 134 (1), 101-125, 2012
New insights into one-norm solvers from the Pareto curve
G Hennenfent, E Berg, MP Friedlander, FJ Herrmann
Geophysics 73 (4), A23-A26, 2008
Joint-sparse recovery from multiple measurements
E Berg, MP Friedlander
arXiv preprint arXiv:0904.2051, 2009
A globally convergent linearly constrained Lagrangian method for nonlinear optimization
MP Friedlander, MA Saunders
SIAM Journal on Optimization 15 (3), 863-897, 2005
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