Sujay Sanghavi - Google Scholar Citations

Cited by

	All	Since 2013
Citations	5623	4664
h-index	35	31
i10-index	54	52

1100

550

275

825

2005200620072008200920102011201220132014201520162017201821 13 37 90 119 130 206 289 402 558 758 961 1006 973

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
Yudong ChenAssistant Professor, Cornell UniversityVerified email at cornell.edu
Ali JalaliUniversity of Texas at AustinVerified email at mail.utexas.edu
Huan XuAssistant Professor, Georgia Institute of TechnologyVerified email at isye.gatech.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at ttic.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
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
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
Laurent MassoulieInria, MSR-Inria Joint CentreVerified email at inria.fr

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	819	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	556	2013
Robust PCA via outlier pursuit H Xu, C Caramanis, S Sanghavi Advances in Neural Information Processing Systems, 2496-2504, 2010	472	2010
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi Advances in Neural Information Processing Systems, 2796-2804, 2013	327	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	278	2010
Distributed link scheduling with constant overhead S Sanghavi, L Bui, R Srikant ACM SIGMETRICS Performance Evaluation Review 35 (1), 313-324, 2007	188	2007
Non-convex robust PCA P Netrapalli, UN Niranjan, S Sanghavi, A Anandkumar, P Jain Advances in Neural Information Processing Systems, 1107-1115, 2014	153	2014
Gossiping with multiple messages S Sanghavi, B Hajek, L Massoulié IEEE Transactions on Information Theory 53 (12), 4640-4654, 2007	144	2007
Low-rank matrix recovery from errors and erasures Y Chen, A Jalali, S Sanghavi, C Caramanis Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on …, 2011	134	2011
Sequential compressed sensing DM Malioutov, SR Sanghavi, AS Willsky Selected Topics in Signal Processing, IEEE Journal of 4 (2), 435-444, 2010	132	2010
Sparse and low-rank matrix decompositions V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual …, 2009	127	2009
Clustering sparse graphs Y Chen, S Sanghavi, H Xu Advances in neural information processing systems, 2204-2212, 2012	125	2012
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	123	2014
Learning the graph of epidemic cascades P Netrapalli, S Sanghavi ACM SIGMETRICS Performance Evaluation Review 40 (1), 211-222, 2012	115	2012
Completing any low-rank matrix, provably Y Chen, S Bhojanapalli, S Sanghavi, R Ward arXiv preprint arXiv:1306.2979, 2013	112*	2013
Intermediate performance of rateless codes S Sanghavi Information Theory Workshop, 2007. ITW'07. IEEE, 478-482, 2007	108	2007
Convergence rates of sub-sampled newton methods MA Erdogdu, A Montanari arXiv preprint arXiv:1508.02810, 2015	91*	2015
Dropping convexity for faster semi-definite optimization S Bhojanapalli, A Kyrillidis, S Sanghavi Conference on Learning Theory, 530-582, 2016	90	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	89	2011
Message passing for maximum weight independent set S Sanghavi, D Shah, AS Willsky IEEE Transactions on Information Theory 55 (11), 4822-4834, 2009	88	2009

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors