Sujay Sanghavi

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Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinDirección de correo verificada de utexas.edu
Alan S. WillskyProfessor of EECS, MITDirección de correo verificada de mit.edu
Praneeth NetrapalliGoogle ResearchDirección de correo verificada de google.com
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonDirección de correo verificada de cs.utexas.edu
Ali JalaliUniversity of Texas at AustinDirección de correo verificada de mail.utexas.edu
Huan XuAlibaba IncDirección de correo verificada de alibaba-inc.com
Anastasios KyrillidisAssociate Professor, Computer Science Department, Ken Kennedy Institute Fellow, Rice UniversityDirección de correo verificada de rice.edu
Yudong ChenAssociate Professor, University of Wisconsin-MadisonDirección de correo verificada de wisc.edu
Prateek JainGoogle Research IndiaDirección de correo verificada de google.com
Dohyung ParkThe University of Texas at AustinDirección de correo verificada de utexas.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchDirección de correo verificada de google.com
Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Dmitry MalioutovResearch Staff Member, T.J. Watson IBM Research centerDirección de correo verificada de us.ibm.com
Yanyao ShenUniversity of Texas at AustinDirección de correo verificada de utexas.edu
Bruce HajekProfessor of Electrical and Computer Engineering, University of IllinoisDirección de correo verificada de illinois.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinDirección de correo verificada de austin.utexas.edu
Rachel WardUT Austin / Microsoft ResearchDirección de correo verificada de math.utexas.edu
R. SrikantUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Devavrat ShahMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu

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Sujay Sanghavi

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

Dirección de correo verificada de mail.utexas.edu - Página principal

Machine Learning Optimization and Algorithms Networks


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Rank-sparsity incoherence for matrix decomposition V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky SIAM Journal on Optimization 21 (2), 572-596, 2011	1277	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	1244	2013
Robust PCA via outlier pursuit H Xu, C Caramanis, S Sanghavi Advances in neural information processing systems 23, 2010	895	2010
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi Advances in Neural Information Processing Systems 26, 2013	737	2013
A dirty model for multi-task learning A Jalali, S Sanghavi, C Ruan, P Ravikumar Advances in neural information processing systems 23, 2010	489	2010
Non-convex robust PCA P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain Advances in neural information processing systems 27, 2014	365	2014
Learning with bad training data via iterative trimmed loss minimization Y Shen, S Sanghavi International conference on machine learning, 5739-5748, 2019	293	2019
Convergence rates of sub-sampled Newton methods MA Erdogdu, A Montanari arXiv preprint arXiv:1508.02810, 2015	269*	2015
Learning the graph of epidemic cascades P Netrapalli, S Sanghavi ACM SIGMETRICS Performance Evaluation Review 40 (1), 211-222, 2012	230	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	227	2013
Sparse and low-rank matrix decompositions V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky IFAC Proceedings Volumes 42 (10), 1493-1498, 2009	204	2009
Distributed link scheduling with constant overhead S Sanghavi, L Bui, R Srikant Proceedings of the 2007 ACM SIGMETRICS international conference on …, 2007	200	2007
Clustering sparse graphs Y Chen, S Sanghavi, H Xu Advances in neural information processing systems 25, 2012	198	2012
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	195	2017
Dropping convexity for faster semi-definite optimization S Bhojanapalli, A Kyrillidis, S Sanghavi Conference on Learning Theory, 530-582, 2016	187	2016
Gossiping with multiple messages S Sanghavi, B Hajek, L Massoulié IEEE Transactions on Information Theory 53 (12), 4640-4654, 2007	184	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	163	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	149	2014
Message passing for maximum weight independent set S Sanghavi, D Shah, AS Willsky IEEE Transactions on Information Theory 55 (11), 4822-4834, 2009	149	2009

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