متابعة
Sujay Sanghavi
Sujay Sanghavi
Associate Professor, Electrical and Computer Engineering, University of Texas, Austin
بريد إلكتروني تم التحقق منه على mail.utexas.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Rank-sparsity incoherence for matrix decomposition‏
V Chandrasekaran, S Sanghavi, PA Parrilo, AS Willsky‏
SIAM Journal on Optimization 21 (2), 572-596, 2011‏
12902011
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
12612013
Robust PCA via outlier pursuit‏
H Xu, C Caramanis, S Sanghavi‏
Advances in neural information processing systems 23, 2010‏
9032010
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
3722014
Learning with bad training data via iterative trimmed loss minimization‏
Y Shen, S Sanghavi‏
International conference on machine learning, 5739-5748, 2019‏
3092019
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
2342012
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
2082009
Clustering sparse graphs‏
Y Chen, S Sanghavi, H Xu‏
Advances in neural information processing systems 25, 2012‏
2032012
Distributed link scheduling with constant overhead‏
S Sanghavi, L Bui, R Srikant‏
Proceedings of the 2007 ACM SIGMETRICS international conference on …, 2007‏
2012007
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
1972017
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
1662014
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
1502014
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
1492011
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مقالات 1–20