Maryam Fazel

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Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyVerified email at mit.edu
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordVerified email at stanford.edu
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringVerified email at caltech.edu
Haitham HindiPrincipal Research Scientist, Amazon.com, USAVerified email at amazon.com
Mehran MesbahiUniversity of WashingtonVerified email at aa.washington.edu
Amin JalaliVerified email at uw.edu
Milica StojanovicProfessor of Electrical and Computer Engineering, Northeastern UniversityVerified email at ece.neu.edu
fatemeh fazelIntel CorporationVerified email at intel.com
Samet OymakUC RiversideVerified email at ece.ucr.edu
Daniela WittenProfessor of Statistics & Biostatistics, Dorothy Gilford Endowed Chair, University of WashingtonVerified email at u.washington.edu
Su-In LeeComputer Science & Engineering, University of WashingtonVerified email at cs.washington.edu
Krishnamurthy DvijothamResearch Scientist, DeepMindVerified email at cs.washington.edu
Reza EghbaliUniversity of California, San FranciscoVerified email at ucsf.edu
Miguel Sousa LoboINSEADVerified email at insead.edu
Emo TodorovAssociate Professor of Applied Mathematics and Computer Science & Engineering, University ofVerified email at cs.washington.edu
Sham M KakadeUniversity of WashingtonVerified email at cs.washington.edu
Rong GeDuke UniversityVerified email at cs.duke.edu
Yonina EldarMath and Computer Science, WeizmannVerified email at weizmann.ac.il
Palma LondonCornell University, Postdoctoral FellowVerified email at cornell.edu

Maryam Fazel

Professor of Electrical and Computer Engineering, University of Washington

Verified email at uw.edu - Homepage

Optimization Machine Learning Control Signal Processing


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Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization B Recht, M Fazel, PA Parrilo SIAM Review 52 (3), 471-501, 2010	3436	2010
Matrix rank minimization with applications M Fazel Elec Eng Dept Stanford University 54, 1-130, 2002	1501	2002
A rank minimization heuristic with application to minimum order system approximation M Fazel, H Hindi, SP Boyd Proceedings of the 2001 American Control Conference.(Cat. No. 01CH37148) 6 …, 2001	1063	2001
Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices M Fazel, H Hindi, SP Boyd Proceedings of the 2003 American Control Conference, 2003. 3, 2156-2162, 2003	594	2003
Iterative reweighted algorithms for matrix rank minimization K Mohan, M Fazel Journal of Machine Learning Research 13 (Nov), 3441-3473, 2012	405	2012
Hankel Matrix Rank Minimization with Applications to System Identification and Realization M Fazel, PT Kei, D Sun, P Tseng SIAM Journal on Matrix Analysis and Applications 34 (3), 946-977, 2013	402	2013
Portfolio optimization with linear and fixed transaction costs MS Lobo, M Fazel, S Boyd Annals of Operations Research 152 (1), 341-365, 2007	359	2007
Global convergence of policy gradient methods for the linear quadratic regulator M Fazel, R Ge, SM Kakade, M Mesbahi arXiv preprint arXiv:1801.05039, 2018	278*	2018
Rank minimization and applications in system theory M Fazel, H Hindi, S Boyd Proceedings of the 2004 American control conference 4, 3273-3278, 2004	268	2004
Simultaneously structured models with application to sparse and low-rank matrices S Oymak, A Jalali, M Fazel, YC Eldar, B Hassibi IEEE Transactions on Information Theory 61 (5), 2886-2908, 2015	259	2015
Random access compressed sensing for energy-efficient underwater sensor networks F Fazel, M Fazel, M Stojanovic IEEE Journal on Selected Areas in Communications 29 (8), 1660-1670, 2011	205	2011
Node-Based Learning of Multiple Gaussian Graphical Models K Mohan, P London, M Fazel, SI Lee, D Witten arXiv preprint arXiv:1303.5145, 2013	158	2013
Reweighted nuclear norm minimization with application to system identification K Mohan, M Fazel Proceedings of the 2010 American Control Conference, 2953-2959, 2010	157	2010
Compressed sensing and robust recovery of low rank matrices M Fazel, E Candes, B Recht, P Parrilo 2008 42nd Asilomar Conference on Signals, Systems and Computers, 1043-1047, 2008	122	2008
Network utility maximization with nonconcave utilities using sum-of-squares method M Fazel, M Chiang Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC'05 …, 2005	101*	2005
A simplified approach to recovery conditions for low rank matrices S Oymak, K Mohan, M Fazel, B Hassibi 2011 IEEE International Symposium on Information Theory Proceedings, 2318-2322, 2011	99	2011
Learning graphical models with hubs KM Tan, P London, K Mohan, SI Lee, M Fazel, D Witten arXiv preprint arXiv:1402.7349, 2014	84	2014
Structured learning of Gaussian graphical models K Mohan, MJY Chung, S Han, D Witten, SI Lee, M Fazel Advances in neural information processing systems 2012, 629, 2012	79	2012
Clustering by left-stochastic matrix factorization R Arora, MR Gupta, A Kapila, M Fazel ICML, 2011	70*	2011
Random access compressed sensing over fading and noisy communication channels F Fazel, M Fazel, M Stojanovic IEEE Transactions on Wireless Communications 12 (5), 2114-2125, 2013	59	2013

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