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A
Michael P. Friedlander, “Active-set approaches to basis pursuit denoising”, in SIAM Optimization, 2008.
Michael P. Friedlander and M. A. Saunders, “Active-set methods for basis pursuit”, in WCOM, 2008.
Michael P. Friedlander, “Algorithms for large-scale sparse reconstruction”, in IEMS, Northwestern University, 2009.
Michael P. Friedlander, “Algorithms for large-scale sparse reconstruction”, in SINBAD 2008, 2008.
Michael P. Friedlander, “Algorithms for sparse optimization”, SINBAD Fall consortium talks. SINBAD, 2010.
C
Michael P. Friedlander, “Computing sparse and group-sparse approximations”, in VIET, Hanoi, Vietnam, 2009.
D
Michael P. Friedlander and M. A. Saunders, “Discussion: the Dantzig selector: statistical estimation when p is much larger than n”, The Annals of Statistics, vol. 35, pp. 2385-2391, 2007.
Ives Macedo, Michael P. Friedlander, and Felix J. Herrmann, “A dual approach to PhaseLift via gauge programming and bundle methods”, SINBAD Fall consortium talks. SINBAD, 2013.
E
Michael P. Friedlander and P. Tseng, “Exact regularization of convex programs”, SIAM Journal on Optimization, vol. 18, pp. 1326-1350, 2007.
F
Felix J. Herrmann, Michael P. Friedlander, and Ozgur Yilmaz, “Fighting the curse of dimensionality: compressive sensing in exploration seismology”, Signal Processing Magazine, IEEE, vol. 29, pp. 88-100, 2012.
G
Ewout van den Berg, Mark Schmidt, Michael P. Friedlander, and K. Murphy, “Group sparsity via linear-time projection”, UBC - Department of Computer Science, TR-2008-09, 2008.
H
Michael P. Friedlander and Mark Schmidt, “Hybrid deterministic-stochastic methods for data fitting”, SIAM Journal on Scientific Computing, vol. 34, pp. A1380-A1405, 2012.
Tristan van Leeuwen, Mark Schmidt, Michael P. Friedlander, and Felix J. Herrmann, “A hybrid stocahstic-deterministic method for waveform inversion”, in AMP, 2011.
Tristan van Leeuwen, Felix J. Herrmann, Mark Schmidt, and Michael P. Friedlander, “A hybrid stochastic-deterministic optimization method for waveform inversion”, in EAGE Annual Conference Proceedings, 2011.
I
Ewout van den Berg and Michael P. Friedlander, “In pursuit of a root”, presented at the 07, 2007.
Ewout van den Berg and Michael P. Friedlander, “In pursuit of a root”, in 2007 Von Neumann Symposium, 2007.
Ewout van den Berg and Michael P. Friedlander, “In pursuit of a root”, Department of Computer Science, University of British Columbia, Vancouver, TR-EOAS-2007-19, 2007.
Michael P. Friedlander, “Introduction to Spot: a linear-operator toolbox”, SINBAD Fall consortium talks. SINBAD, 2010.
N
Gilles Hennenfent, Ewout van den Berg, Michael P. Friedlander, and Felix J. Herrmann, “New insights into one-norm solvers from the Pareto curve”, Geophysics, vol. 73, pp. A23-A26, 2008.
O
Ewout van den Berg, Mark Schmidt, Michael P. Friedlander, and K. Murphy, “Optimizing costly functions with simple constraints: a limited-memory projected Quasi-Newton algorithm”, in SLIM, 2009, vol. 12.
P
Ewout van den Berg and Michael P. Friedlander, “Probing the Pareto frontier for basis pursuit solutions”, SIAM Journal on Scientific Computing, vol. 31, pp. 890-912, 2008.
Ting Kei Pong, Michael P. Friedlander, and Felix J. Herrmann, “The proximal-proximal gradient algorithm”, SINBAD Fall consortium talks. SINBAD, 2013.
Julie Nutini, Michael P. Friedlander, and Felix J. Herrmann, “Putting the curvature back into sparse solvers”, SINBAD Fall consortium talks. SINBAD, 2013.
R
Michael P. Friedlander, “Randomized sampling: How confident are you?”, SINBAD Fall consortium talks. SINBAD, 2012.
Michael P. Friedlander, Hassan Mansour, Rayan Saab, and Ozgur Yilmaz, “Recovering compressively sampled signals using partial support information”, IEEE Transactions on Information Theory, vol. 58, pp. 1122-1134, 2012.

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