Sujay Sanghavi

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Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinVerified email at utexas.edu
Alan S. WillskyProfessor of EECS, MITVerified email at mit.edu
Praneeth NetrapalliGoogle ResearchVerified email at google.com
Anastasios KyrillidisAssistant Professor, Computer Science Department, Rice University - MicrosoftVerified email at rice.edu
Ali JalaliUniversity of Texas at AustinVerified email at mail.utexas.edu
Prateek JainGoogle Research IndiaVerified email at google.com
Huan XuAlibaba IncVerified email at alibaba-inc.com
Yudong ChenAssociate Professor, Cornell UniversityVerified email at cornell.edu
Dohyung ParkThe University of Texas at AustinVerified email at utexas.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at google.com
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyVerified email at mit.edu
Dmitry MalioutovResearch Staff Member, T.J. Watson IBM Research centerVerified email at us.ibm.com
Bruce HajekProfessor of Electrical and Computer Engineering, University of IllinoisVerified email at illinois.edu
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yanyao ShenUniversity of Texas at AustinVerified email at utexas.edu
Rachel WardUT AustinVerified email at math.utexas.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinVerified email at austin.utexas.edu
Devavrat ShahMassachusetts Institute of TechnologyVerified email at mit.edu
R. SrikantUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu

Sujay Sanghavi

Associate Professor, Electrical and Computer Engineering, WNCG, University of Texas, Austin

Verified email at mail.utexas.edu - Homepage

Machine Learning Optimization and Algorithms Networks


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Rank-sparsity incoherence for matrix decomposition V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky SIAM Journal on Optimization 21 (2), 572-596, 2011	1114	2011
Low-rank matrix completion using alternating minimization P Jain, P Netrapalli, S Sanghavi Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013	1028	2013
Robust PCA via outlier pursuit H Xu, C Caramanis, S Sanghavi Advances in neural information processing systems 23, 2010	785	2010
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi Advances in Neural Information Processing Systems 26, 2013	600	2013
A dirty model for multi-task learning A Jalali, S Sanghavi, C Ruan, P Ravikumar Advances in neural information processing systems 23, 2010	429	2010
Non-convex robust PCA P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain Advances in Neural Information Processing Systems 27, 2014	302	2014
Convergence rates of sub-sampled Newton methods MA Erdogdu, A Montanari arXiv preprint arXiv:1508.02810, 2015	200*	2015
Low-rank matrix recovery from errors and erasures Y Chen, A Jalali, S Sanghavi, C Caramanis IEEE Transactions on Information Theory 59 (7), 4324-4337, 2013	200	2013
Learning the graph of epidemic cascades P Netrapalli, S Sanghavi ACM SIGMETRICS Performance Evaluation Review 40 (1), 211-222, 2012	199	2012
Distributed link scheduling with constant overhead S Sanghavi, L Bui, R Srikant Proceedings of the 2007 ACM SIGMETRICS international conference on …, 2007	199	2007
Sparse and low-rank matrix decompositions V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky IFAC Proceedings Volumes 42 (10), 1493-1498, 2009	176	2009
Clustering sparse graphs Y Chen, S Sanghavi, H Xu Advances in neural information processing systems 25, 2012	172	2012
Dropping convexity for faster semi-definite optimization S Bhojanapalli, A Kyrillidis, S Sanghavi Conference on Learning Theory, 530-582, 2016	166	2016
Gossiping with multiple messages S Sanghavi, B Hajek, L Massoulié IEEE Transactions on Information Theory 53 (12), 4640-4654, 2007	165	2007
Sequential compressed sensing DM Malioutov, SR Sanghavi, AS Willsky Selected Topics in Signal Processing, IEEE Journal of 4 (2), 435-444, 2010	161	2010
Message passing for maximum weight independent set S Sanghavi, D Shah, AS Willsky IEEE Transactions on Information Theory 55 (11), 4822-4834, 2009	142	2009
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach D Park, A Kyrillidis, C Carmanis, S Sanghavi Artificial Intelligence and Statistics, 65-74, 2017	141	2017
Robust matrix completion and corrupted columns Y Chen, H Xu, C Caramanis, S Sanghavi Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	135	2011
Clustering partially observed graphs via convex optimization Y Chen, A Jalali, S Sanghavi, H Xu The Journal of Machine Learning Research 15 (1), 2213-2238, 2014	127	2014
Intermediate performance of rateless codes S Sanghavi 2007 IEEE Information Theory Workshop, 478-482, 2007	127	2007

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