Seismic Laboratory for Imaging and Modeling

Professor

2366 Main Mall, Room 221 (UBC)

Ting Kei Pong, Michael P. Friedlander, and Felix J. Herrmann, “The proximal-proximal gradient algorithm”, SINBAD Fall consortium talks. SINBAD, 2013.
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Julie Nutini, Michael P. Friedlander, and Felix J. Herrmann, “Putting the curvature back into sparse solvers”, SINBAD Fall consortium talks. SINBAD, 2013.
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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.
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Gabriel Goh, Michael P. Friedlander, and Felix J. Herrmann, “Taming time through tangents”, SINBAD Fall consortium talks. SINBAD, 2013.
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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.
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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.
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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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Michael P. Friedlander and Mark Schmidt, “Hybrid deterministic-stochastic methods for data fitting”, SIAM Journal on Scientific Computing, vol. 34, pp. A1380-A1405, 2012.
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Aleksandr Y. Aravkin, Michael P. Friedlander, and Tristan van Leeuwen, “Robust inversion via semistochastic dimensionality reduction”, in ICASSP, 2012, pp. 5245-5248.
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Michael P. Friedlander, “Randomized sampling: How confident are you?”, SINBAD Fall consortium talks. SINBAD, 2012.
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Ewout van den Berg and Michael P. Friedlander, “Sparse optimization with least-squares constraints”, SIAM Journal on Optimization, vol. 21, pp. 1201–1229, 2011.
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Tristan van Leeuwen, Mark Schmidt, Michael P. Friedlander, and Felix J. Herrmann, “A hybrid stocahstic-deterministic method for waveform inversion”, in AMP, 2011.
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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.
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Michael P. Friedlander, “Robust inversion, data-fitting, and inexact gradient methods”, SINBAD Fall consortium talks. SINBAD, 2011.
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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.
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Michael P. Friedlander, “Introduction to Spot: a linear-operator toolbox”, SINBAD Fall consortium talks. SINBAD, 2010.
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Michael P. Friedlander, “Algorithms for sparse optimization”, SINBAD Fall consortium talks. SINBAD, 2010.
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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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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.
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Ewout van den Berg and Michael P. Friedlander, “Spot: A linear-operator toolbox for Matlab”, in SCAIM, University of British Columbia, 2009.
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