Sujay Sanghavi - Google Scholar Citations

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	All	Since 2014
Citations	6190	4811
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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 NetrapalliMicrosoft ResearchVerified email at microsoft.com
Ali JalaliUniversity of Texas at AustinVerified email at mail.utexas.edu
Yudong ChenAssistant Professor, Cornell UniversityVerified email at cornell.edu
Huan XuAssistant Professor, Georgia Institute of TechnologyVerified email at isye.gatech.edu
Anastasios KyrillidisAssistant Professor, Computer Science Department, Rice UniversityVerified email at rice.edu
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Dohyung ParkThe University of Texas at AustinVerified email at utexas.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at ttic.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
Devavrat ShahMassachusetts Institute of TechnologyVerified email at mit.edu
Avik RaySamsung Research AmericaVerified email at utexas.edu
Loc BuiTech Lead, Cisco SystemsVerified email at ieee.org
R SrikantUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Rachel WardUT AustinVerified email at math.utexas.edu
Sharayu MoharirAssistant Professor, Department of Electrical Engineering, IIT BombayVerified email at ee.iitb.ac.in

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


Title	Cited by	Year
Rank-sparsity incoherence for matrix decomposition V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky SIAM Journal on Optimization 21 (2), 572-596, 2011	868	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	648	2013
Robust PCA via outlier pursuit H Xu, C Caramanis, S Sanghavi Advances in Neural Information Processing Systems, 2496-2504, 2010	521	2010
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi Advances in Neural Information Processing Systems, 2796-2804, 2013	375	2013
A dirty model for multi-task learning A Jalali, S Sanghavi, C Ruan, PK Ravikumar Advances in neural information processing systems, 964-972, 2010	317	2010
Distributed link scheduling with constant overhead S Sanghavi, L Bui, R Srikant ACM SIGMETRICS Performance Evaluation Review 35 (1), 313-324, 2007	190	2007
Non-convex robust PCA P Netrapalli, UN Niranjan, S Sanghavi, A Anandkumar, P Jain Advances in Neural Information Processing Systems, 1107-1115, 2014	187	2014
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	145	2013
Gossiping with multiple messages S Sanghavi, B Hajek, L Massoulié IEEE Transactions on Information Theory 53 (12), 4640-4654, 2007	142	2007
Sequential compressed sensing DM Malioutov, SR Sanghavi, AS Willsky Selected Topics in Signal Processing, IEEE Journal of 4 (2), 435-444, 2010	137	2010
Sparse and low-rank matrix decompositions V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky IFAC Proceedings Volumes 42 (10), 1493-1498, 2009	137	2009
Learning the graph of epidemic cascades P Netrapalli, S Sanghavi ACM SIGMETRICS Performance Evaluation Review 40 (1), 211-222, 2012	136	2012
Clustering sparse graphs Y Chen, S Sanghavi, H Xu Advances in neural information processing systems, 2204-2212, 2012	128	2012
Intermediate performance of rateless codes S Sanghavi 2007 IEEE Information Theory Workshop, 478-482, 2007	114	2007
Convergence rates of sub-sampled Newton methods MA Erdogdu, A Montanari arXiv preprint arXiv:1508.02810, 2015	112*	2015
Message passing for maximum weight independent set S Sanghavi, D Shah, AS Willsky IEEE Transactions on Information Theory 55 (11), 4822-4834, 2009	105	2009
Dropping convexity for faster semi-definite optimization S Bhojanapalli, A Kyrillidis, S Sanghavi Conference on Learning Theory, 530-582, 2016	103	2016
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	96	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	85	2014
Greedy subspace clustering D Park, C Caramanis, S Sanghavi Advances in Neural Information Processing Systems, 2753-2761, 2014	84	2014

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