Sujay Sanghavi

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	总计	2020 年至今
引用	11439	4808
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i10 指数	90	70

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Constantine CaramanisProfessor of Electrical and Computer Engineering, UT Austin在 utexas.edu 的电子邮件经过验证
Alan S. WillskyProfessor of EECS, MIT在 mit.edu 的电子邮件经过验证
Praneeth NetrapalliGoogle Research在 google.com 的电子邮件经过验证
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at Amazon在 cs.utexas.edu 的电子邮件经过验证
Ali JalaliUniversity of Texas at Austin在 mail.utexas.edu 的电子邮件经过验证
Huan XuAlibaba Inc在 alibaba-inc.com 的电子邮件经过验证
Anastasios KyrillidisNoah Harding CS Associate Professor, Ken Kennedy Institute Fellow, Dean Fellow, Rice University在 rice.edu 的电子邮件经过验证
Yudong ChenAssociate Professor, University of Wisconsin-Madison在 wisc.edu 的电子邮件经过验证
Prateek JainGoogle Research India在 google.com 的电子邮件经过验证
Dohyung ParkThe University of Texas at Austin在 utexas.edu 的电子邮件经过验证
Srinadh BhojanapalliResearch Scientist, Google Research在 google.com 的电子邮件经过验证
Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Yanyao ShenUniversity of Texas at Austin在 utexas.edu 的电子邮件经过验证
Dmitry MalioutovResearch Staff Member, T.J. Watson IBM Research center在 us.ibm.com 的电子邮件经过验证
Bruce HajekProfessor of Electrical and Computer Engineering, University of Illinois在 illinois.edu 的电子邮件经过验证
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Alexandros G DimakisProfessor, ECE University of Texas at Austin在 austin.utexas.edu 的电子邮件经过验证
Rachel WardUT Austin / Microsoft Research在 math.utexas.edu 的电子邮件经过验证
R. SrikantUniversity of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Devavrat ShahMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证

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Sujay Sanghavi

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

在 mail.utexas.edu 的电子邮件经过验证 - 首页

Machine Learning Optimization and Algorithms Networks


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	1258	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	748	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	200	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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