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2013
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.
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.
Gabriel Goh, Michael P. Friedlander, and Felix J. Herrmann, “Taming time through tangents”, SINBAD Fall consortium talks. SINBAD, 2013.
2012
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.
Michael P. Friedlander and Mark Schmidt, “Hybrid deterministic-stochastic methods for data fitting”, SIAM Journal on Scientific Computing, vol. 34, pp. A1380-A1405, 2012.
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.
Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, and Tristan van Leeuwen, “Robust inversion, dimensionality reduction, and randomized sampling”, Mathematical Programming, vol. 134, pp. 101-125, 2012.
Aleksandr Y. Aravkin, Michael P. Friedlander, and Tristan van Leeuwen, “Robust inversion via semistochastic dimensionality reduction”, in ICASSP, 2012, pp. 5245-5248.
2011
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.
Michael P. Friedlander, “Robust inversion, data-fitting, and inexact gradient methods”, SINBAD Fall consortium talks. SINBAD, 2011.
Ewout van den Berg and Michael P. Friedlander, “Sparse optimization with least-squares constraints”, SIAM Journal on Optimization, vol. 21, pp. 1201–1229, 2011.
2010
Michael P. Friedlander, “Algorithms for sparse optimization”, SINBAD Fall consortium talks. SINBAD, 2010.
Michael P. Friedlander, “Introduction to Spot: a linear-operator toolbox”, SINBAD Fall consortium talks. SINBAD, 2010.
Ewout van den Berg and Michael P. Friedlander, “Theoretical and empirical results for recovery from multiple measurements”, IEEE Transactions on Information Theory, vol. 56, pp. 2516-2527, 2010.
2009
Michael P. Friedlander, “Algorithms for large-scale sparse reconstruction”, in IEMS, Northwestern University, 2009.
Michael P. Friedlander, “Computing sparse and group-sparse approximations”, in VIET, Hanoi, Vietnam, 2009.
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.
Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, and Ozgur Yilmaz, “Sparco: a testing framework for sparse reconstruction”, ACM Transactions on Mathematical Software, vol. 35, pp. 1-16, 2009.
Ewout van den Berg and Michael P. Friedlander, “Spot: A linear-operator toolbox for Matlab”, in SCAIM, University of British Columbia, 2009.
2008
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 SINBAD 2008, 2008.

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