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Sujay Sanghavi
Sujay Sanghavi
Associate Professor, Electrical and Computer Engineering, University of Texas, Austin
Bestätigte E-Mail-Adresse bei mail.utexas.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Rank-sparsity incoherence for matrix decomposition
V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky
SIAM Journal on Optimization 21 (2), 572-596, 2011
12882011
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
12542013
Robust PCA via outlier pursuit
H Xu, C Caramanis, S Sanghavi
Advances in neural information processing systems 23, 2010
9002010
Phase retrieval using alternating minimization
P Netrapalli, P Jain, S Sanghavi
Advances in Neural Information Processing Systems 26, 2013
7472013
A dirty model for multi-task learning
A Jalali, S Sanghavi, C Ruan, P Ravikumar
Advances in neural information processing systems 23, 2010
4912010
Non-convex robust PCA
P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain
Advances in neural information processing systems 27, 2014
3712014
Learning with bad training data via iterative trimmed loss minimization
Y Shen, S Sanghavi
International conference on machine learning, 5739-5748, 2019
3052019
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
2322012
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
2292013
Sparse and low-rank matrix decompositions
V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky
IFAC Proceedings Volumes 42 (10), 1493-1498, 2009
2062009
Clustering sparse graphs
Y Chen, S Sanghavi, H Xu
Advances in neural information processing systems 25, 2012
2012012
Distributed link scheduling with constant overhead
S Sanghavi, L Bui, R Srikant
Proceedings of the 2007 ACM SIGMETRICS international conference on …, 2007
2002007
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
1962017
Dropping convexity for faster semi-definite optimization
S Bhojanapalli, A Kyrillidis, S Sanghavi
Conference on Learning Theory, 530-582, 2016
1892016
Gossiping with multiple messages
S Sanghavi, B Hajek, L Massoulié
IEEE Transactions on Information Theory 53 (12), 4640-4654, 2007
1852007
Sequential compressed sensing
DM Malioutov, SR Sanghavi, AS Willsky
Selected Topics in Signal Processing, IEEE Journal of 4 (2), 435-444, 2010
1712010
Alternating minimization for mixed linear regression
X Yi, C Caramanis, S Sanghavi
International Conference on Machine Learning, 613-621, 2014
1652014
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
1492014
Message passing for maximum weight independent set
S Sanghavi, D Shah, AS Willsky
IEEE Transactions on Information Theory 55 (11), 4822-4834, 2009
1492009
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