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Software
Ewout van den Berg and Michael P. Friedlander, “SPARCO: a toolbox for testing sparse reconstruction algorithms”. 2007.
Report
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.
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.
Presentation
Gabriel Goh, Michael P. Friedlander, and Felix J. Herrmann, “Taming time through tangents”, SINBAD Fall consortium talks. SINBAD, 2013.
Michael P. Friedlander, “Robust inversion, data-fitting, and inexact gradient methods”, SINBAD Fall consortium talks. SINBAD, 2011.
Michael P. Friedlander, “Randomized sampling: How confident are you?”, SINBAD Fall consortium talks. SINBAD, 2012.
Julie Nutini, Michael P. Friedlander, and Felix J. Herrmann, “Putting the curvature back into sparse solvers”, 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.
Michael P. Friedlander, “Introduction to Spot: a linear-operator toolbox”, SINBAD Fall consortium talks. SINBAD, 2010.
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.
Michael P. Friedlander, “Algorithms for sparse optimization”, SINBAD Fall consortium talks. SINBAD, 2010.
Journal Article
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.
Ewout van den Berg and Michael P. Friedlander, “Sparse optimization with least-squares constraints”, SIAM Journal on Optimization, vol. 21, pp. 1201–1229, 2011.
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.
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.
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.
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.
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.
Michael P. Friedlander and Mark Schmidt, “Hybrid deterministic-stochastic methods for data fitting”, SIAM Journal on Scientific Computing, vol. 34, pp. A1380-A1405, 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 P. Tseng, “Exact regularization of convex programs”, SIAM Journal on Optimization, vol. 18, pp. 1326-1350, 2007.
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.
Conference
Ewout van den Berg and Michael P. Friedlander, “Spot: A linear-operator toolbox for Matlab”, in SCAIM, University of British Columbia, 2009.
Aleksandr Y. Aravkin, Michael P. Friedlander, and Tristan van Leeuwen, “Robust inversion via semistochastic dimensionality reduction”, in ICASSP, 2012, pp. 5245-5248.
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.

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