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 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
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Yudong ChenAssistant Professor, Cornell UniversityVerified email at cornell.edu
Huan XuAlibaba IncVerified email at alibaba-inc.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
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
Yanyao ShenUniversity 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

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	1051	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	933	2013
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi IEEE Transactions on Signal Processing 63 (18), 4814-4826, 2015	534	2015
Robust PCA via outlier pursuit H Xu, C Caramanis, S Sanghavi arXiv preprint arXiv:1010.4237, 2010	400	2010
A dirty model for multi-task learning A Jalali, S Sanghavi, C Ruan, P Ravikumar Advances in neural information processing systems 23, 964-972, 2010	399	2010
Robust PCA via outlier pursuit H Xu, C Caramanis, S Sanghavi IEEE transactions on information theory 58 (5), 3047-3064, 2012	340	2012
Non-convex robust PCA P Netrapalli, UN Niranjan, S Sanghavi, A Anandkumar, P Jain arXiv preprint arXiv:1410.7660, 2014	271	2014
Distributed link scheduling with constant overhead S Sanghavi, L Bui, R Srikant Proceedings of the 2007 ACM SIGMETRICS international conference on …, 2007	196	2007
Learning the graph of epidemic cascades P Netrapalli, S Sanghavi ACM SIGMETRICS Performance Evaluation Review 40 (1), 211-222, 2012	192	2012
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	186	2013
Convergence rates of sub-sampled Newton methods MA Erdogdu, A Montanari arXiv preprint arXiv:1508.02810, 2015	174*	2015
Sparse and low-rank matrix decompositions V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky IFAC Proceedings Volumes 42 (10), 1493-1498, 2009	162	2009
Clustering sparse graphs Y Chen, S Sanghavi, H Xu arXiv preprint arXiv:1210.3335 2 (5), 2012	158	2012
Sequential compressed sensing DM Malioutov, SR Sanghavi, AS Willsky Selected Topics in Signal Processing, IEEE Journal of 4 (2), 435-444, 2010	156	2010
Gossiping with multiple messages S Sanghavi, B Hajek, L Massoulié IEEE Transactions on Information Theory 53 (12), 4640-4654, 2007	154	2007
Dropping convexity for faster semi-definite optimization S Bhojanapalli, A Kyrillidis, S Sanghavi Conference on Learning Theory, 530-582, 2016	148	2016
Message passing for maximum weight independent set S Sanghavi, D Shah, AS Willsky IEEE Transactions on Information Theory 55 (11), 4822-4834, 2009	128	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	124	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	122	2011
Intermediate performance of rateless codes S Sanghavi 2007 IEEE Information Theory Workshop, 478-482, 2007	122	2007

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