Sujay Sanghavi

Cited by

	All	Since 2016
Citations	7911	5087
h-index	40	31
i10-index	66	59

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Co-authors

Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinVerified email at utexas.edu
Alan S. WillskyProfessor of EECS, MITVerified email at mit.edu
Praneeth NetrapalliMicrosoft ResearchVerified email at microsoft.com
Ali JalaliUniversity of Texas at AustinVerified email at mail.utexas.edu
Anastasios KyrillidisAssistant Professor, Computer Science Department, Rice UniversityVerified email at rice.edu
Yudong ChenAssistant Professor, Cornell UniversityVerified email at cornell.edu
Huan XuAlibaba IncVerified email at alibaba-inc.com
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at google.com
Dohyung ParkThe University of Texas at AustinVerified email at 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
Rachel WardUT AustinVerified email at math.utexas.edu
Yanyao ShenPhD student, University of Texas at AustinVerified email at utexas.edu
Devavrat ShahMassachusetts Institute of TechnologyVerified email at mit.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinVerified email at austin.utexas.edu
Avik RayResearch Scientist @ Samsung Research AmericaVerified email at utexas.edu
Loc BuiTech Lead, Cisco SystemsVerified email at ieee.org

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	1027	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	893	2013
Robust PCA via outlier pursuit H Xu, C Caramanis, S Sanghavi IEEE transactions on information theory 58 (5), 3047-3064, 2012	675	2012
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi IEEE Transactions on Signal Processing 63 (18), 4814-4826, 2015	515	2015
A dirty model for multi-task learning A Jalali, S Sanghavi, C Ruan, PK Ravikumar Advances in neural information processing systems, 964-972, 2010	389	2010
Non-convex robust PCA P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain Advances in Neural Information Processing Systems 27, 1107-1115, 2014	258	2014
Distributed link scheduling with constant overhead S Sanghavi, L Bui, R Srikant Proceedings of the 2007 ACM SIGMETRICS international conference on …, 2007	194	2007
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	179	2013
Learning the graph of epidemic cascades P Netrapalli, S Sanghavi ACM SIGMETRICS Performance Evaluation Review 40 (1), 211-222, 2012	177	2012
Convergence rates of sub-sampled Newton methods MA Erdogdu, A Montanari arXiv preprint arXiv:1508.02810, 2015	168*	2015
Sparse and low-rank matrix decompositions V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky IFAC Proceedings Volumes 42 (10), 1493-1498, 2009	160	2009
Sequential compressed sensing DM Malioutov, SR Sanghavi, AS Willsky Selected Topics in Signal Processing, IEEE Journal of 4 (2), 435-444, 2010	153	2010
Clustering sparse graphs Y Chen, S Sanghavi, H Xu Advances in neural information processing systems 25, 2204-2212, 2012	151	2012
Gossiping with multiple messages S Sanghavi, B Hajek, L Massoulié IEEE Transactions on Information Theory 53 (12), 4640-4654, 2007	149	2007
Dropping convexity for faster semi-definite optimization S Bhojanapalli, A Kyrillidis, S Sanghavi Conference on Learning Theory, 530-582, 2016	135	2016
Message passing for maximum weight independent set S Sanghavi, D Shah, AS Willsky IEEE Transactions on Information Theory 55 (11), 4822-4834, 2009	124	2009
Intermediate performance of rateless codes S Sanghavi 2007 IEEE Information Theory Workshop, 478-482, 2007	120	2007
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	117	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	116	2014
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	115	2017

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