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M. O. Frijlink, Reza Shahidi, Felix J. Herrmann, and R. G. van Borselen, “Comparison of standard adaptive subtraction and primary-multiple separation in the curvelet domain”, in EAGE Annual Conference Proceedings, 2010.
Michael P. Friedlander, “Randomized sampling: How confident are you?”, SINBAD Fall consortium talks. SINBAD, 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, “Algorithms for large-scale sparse reconstruction”, in SINBAD 2008, 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.
Michael P. Friedlander, “Active-set approaches to basis pursuit denoising”, in SIAM Optimization, 2008.
Michael P. Friedlander, “Introduction to Spot: a linear-operator toolbox”, SINBAD Fall consortium talks. SINBAD, 2010.
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.
Michael P. Friedlander, “Computing sparse and group-sparse approximations”, in VIET, Hanoi, Vietnam, 2009.
Michael P. Friedlander, “Algorithms for sparse optimization”, SINBAD Fall consortium talks. SINBAD, 2010.
Michael P. Friedlander, “Algorithms for large-scale sparse reconstruction”, in IEMS, Northwestern University, 2009.
Michael P. Friedlander, “Robust inversion, data-fitting, and inexact gradient methods”, SINBAD Fall consortium talks. SINBAD, 2011.
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.
Michael P. Friedlander and M. A. Saunders, “Active-set methods for basis pursuit”, in WCOM, 2008.
Sergey Fomel and Gilles Hennenfent, “Reproducible computational experiments using scons”, in ICASSP, 2007.
Lloyd Fenelon, “Nonequispaced discrete curvelet transform for seismic data reconstruction”, 2008.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield-Reconstruction Inversion using a positive-definite approximated Hessian”, SINBAD Fall consortium talks. SINBAD, 2015.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, in EAGE Annual Conference Proceedings, 2015.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, SINBAD Fall consortium talks. SINBAD, 2014.
Zhilong Fang and Felix J. Herrmann, “A stochastic quasi-Newton McMC method for uncertainty quantification of full-waveform inversion”, UBC, TR-EOAS-2014-6, 2014.
Zhilong Fang, Curt Da Silva, and Felix J. Herrmann, “Fast uncertainty quantification for 2D full-waveform inversion with randomized source subsampling”, in EAGE Annual Conference Proceedings, 2014.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Tristan van Leeuwen, Felix J. Herrmann, and Rachel Kuske, “Efficient approach for quantifying uncertainty of wavefield reconstruction inversion”, SINBAD Fall consortium talks. SINBAD, 2016.
Zhilong Fang, Tristan van Leeuwen, and Felix J. Herrmann, “Parallel 3D FWI with simultaneous shots”, SINBAD Fall consortium talks. SINBAD, 2013.
Zhilong Fang and Felix J. Herrmann, “Source estimation for Wavefield Reconstruction Inversion”, in EAGE Annual Conference Proceedings, 2015.
Zhilong Fang, Xiang Li, Bas Peters, and Felix J. Herrmann, “Source estimation for WRI and its application”, SINBAD Fall consortium talks. SINBAD, 2014.

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