Sujay Sanghavi

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Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinAdresse e-mail validée de utexas.edu
Alan S. WillskyProfessor of EECS, MITAdresse e-mail validée de mit.edu
Praneeth NetrapalliGoogle ResearchAdresse e-mail validée de google.com
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonAdresse e-mail validée de cs.utexas.edu
Ali JalaliUniversity of Texas at AustinAdresse e-mail validée de mail.utexas.edu
Huan XuAlibaba IncAdresse e-mail validée de alibaba-inc.com
Anastasios KyrillidisNoah Harding CS Associate Professor, Ken Kennedy Institute Fellow, Dean Fellow, Rice UniversityAdresse e-mail validée de rice.edu
Yudong ChenAssociate Professor, University of Wisconsin-MadisonAdresse e-mail validée de wisc.edu
Prateek JainGoogle Research IndiaAdresse e-mail validée de google.com
Dohyung ParkThe University of Texas at AustinAdresse e-mail validée de utexas.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchAdresse e-mail validée de google.com
Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Yanyao ShenUniversity of Texas at AustinAdresse e-mail validée de utexas.edu
Dmitry MalioutovResearch Staff Member, T.J. Watson IBM Research centerAdresse e-mail validée de us.ibm.com
Bruce HajekProfessor of Electrical and Computer Engineering, University of IllinoisAdresse e-mail validée de illinois.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinAdresse e-mail validée de austin.utexas.edu
Rachel WardUT Austin / Microsoft ResearchAdresse e-mail validée de math.utexas.edu
R. SrikantUniversity of Illinois at Urbana-ChampaignAdresse e-mail validée de illinois.edu
Devavrat ShahMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu

Suivre

Sujay Sanghavi

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

Adresse e-mail validée de mail.utexas.edu - Page d'accueil

Machine Learning Optimization and Algorithms Networks


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Rank-sparsity incoherence for matrix decomposition V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky SIAM Journal on Optimization 21 (2), 572-596, 2011	1290	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	1261	2013
Robust PCA via outlier pursuit H Xu, C Caramanis, S Sanghavi Advances in neural information processing systems 23, 2010	903	2010
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi Advances in Neural Information Processing Systems 26, 2013	747	2013
A dirty model for multi-task learning A Jalali, S Sanghavi, C Ruan, P Ravikumar Advances in neural information processing systems 23, 2010	491	2010
Non-convex robust PCA P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain Advances in neural information processing systems 27, 2014	372	2014
Learning with bad training data via iterative trimmed loss minimization Y Shen, S Sanghavi International conference on machine learning, 5739-5748, 2019	309	2019
Convergence rates of sub-sampled Newton methods MA Erdogdu, A Montanari arXiv preprint arXiv:1508.02810, 2015	270*	2015
Learning the graph of epidemic cascades P Netrapalli, S Sanghavi ACM SIGMETRICS Performance Evaluation Review 40 (1), 211-222, 2012	234	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	229	2013
Sparse and low-rank matrix decompositions V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky IFAC Proceedings Volumes 42 (10), 1493-1498, 2009	208	2009
Clustering sparse graphs Y Chen, S Sanghavi, H Xu Advances in neural information processing systems 25, 2012	203	2012
Distributed link scheduling with constant overhead S Sanghavi, L Bui, R Srikant Proceedings of the 2007 ACM SIGMETRICS international conference on …, 2007	201	2007
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	197	2017
Dropping convexity for faster semi-definite optimization S Bhojanapalli, A Kyrillidis, S Sanghavi Conference on Learning Theory, 530-582, 2016	189	2016
Gossiping with multiple messages S Sanghavi, B Hajek, L Massoulié IEEE Transactions on Information Theory 53 (12), 4640-4654, 2007	185	2007
Sequential compressed sensing DM Malioutov, SR Sanghavi, AS Willsky Selected Topics in Signal Processing, IEEE Journal of 4 (2), 435-444, 2010	171	2010
Alternating minimization for mixed linear regression X Yi, C Caramanis, S Sanghavi International Conference on Machine Learning, 613-621, 2014	166	2014
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	150	2014
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	149	2011

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