Maryam Fazel

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Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Mehran MesbahiUniversity of WashingtonDirección de correo verificada de aa.washington.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyDirección de correo verificada de eecs.berkeley.edu
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordDirección de correo verificada de stanford.edu
Samet OymakEECS Prof @ University of MichiganDirección de correo verificada de umich.edu
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringDirección de correo verificada de caltech.edu
Haitham HindiPrincipal Research Scientist, Amazon.com, USADirección de correo verificada de amazon.com
Amin JalaliDirección de correo verificada de uw.edu
Yue SunMicrosoftDirección de correo verificada de microsoft.com
Milica StojanovicProfessor of Electrical and Computer Engineering, Northeastern UniversityDirección de correo verificada de ece.neu.edu
fatemeh fazelIntel CorporationDirección de correo verificada de intel.com
Omid SadeghiLead Research ScientistDirección de correo verificada de 8451.com
Dmitriy DrusvyatskiyUniversity of WashingtonDirección de correo verificada de uw.edu
Daniela WittenProfessor of Statistics & Biostatistics, Dorothy Gilford Endowed Chair, University of WashingtonDirección de correo verificada de u.washington.edu
Su-In LeeComputer Science & Engineering, University of WashingtonDirección de correo verificada de cs.washington.edu
Krishnamurthy DvijothamServiceNow ResearchDirección de correo verificada de cs.washington.edu
Sham M KakadeHarvard UniversityDirección de correo verificada de seas.harvard.edu
Rong GeDuke UniversityDirección de correo verificada de cs.duke.edu
Reza EghbaliUniversity of California, San FranciscoDirección de correo verificada de ucsf.edu
Adhyyan NarangPhD Student in ECE, University of WashingtonDirección de correo verificada de uw.edu

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Maryam Fazel

Moorthy Family Professor of Electrical and Computer Engineering, University of Washington

Dirección de correo verificada de uw.edu - Página principal

Optimization Machine Learning Control Signal Processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	4259	2010
Matrix rank minimization with applications M Fazel Elec Eng Dept Stanford University 54, 1-130, 2002	1832	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	1241	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	745	2003
Global convergence of policy gradient methods for the linear quadratic regulator M Fazel, R Ge, S Kakade, M Mesbahi International Conference on Machine Learning, 1467-1476, 2018	701	2018
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	571	2013
Iterative reweighted algorithms for matrix rank minimization K Mohan, M Fazel Journal of Machine Learning Research 13 (Nov), 3441-3473, 2012	529	2012
Portfolio optimization with linear and fixed transaction costs MS Lobo, M Fazel, S Boyd Annals of Operations Research 152 (1), 341-365, 2007	467	2007
Rank minimization and applications in system theory M Fazel, H Hindi, S Boyd Proceedings of the 2004 American control conference 4, 3273-3278, 2004	322	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	319	2015
Node-Based Learning of Multiple Gaussian Graphical Models K Mohan, P London, M Fazel, SI Lee, D Witten arXiv preprint arXiv:1303.5145, 2013	235	2013
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	212	2011
Reweighted nuclear norm minimization with application to system identification K Mohan, M Fazel Proceedings of the 2010 American Control Conference, 2953-2959, 2010	196	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	162	2008
LQR through the lens of first order methods: Discrete-time case J Bu, A Mesbahi, M Fazel, M Mesbahi arXiv preprint arXiv:1907.08921, 2019	150	2019
Learning graphical models with hubs KM Tan, P London, K Mohan, SI Lee, M Fazel, D Witten arXiv preprint arXiv:1402.7349, 2014	113	2014
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	112	2011
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	111*	2005
Structured learning of Gaussian graphical models K Mohan, M Chung, S Han, D Witten, SI Lee, M Fazel Advances in neural information processing systems 25, 2012	101	2012
Escaping from saddle points on Riemannian manifolds Y Sun, N Flammarion, M Fazel Advances in Neural Information Processing Systems 32, 2019	85	2019

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