Praneeth Netrapalli
Praneeth Netrapalli
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
8932013
Phase retrieval using alternating minimization
P Netrapalli, P Jain, S Sanghavi
IEEE Transactions on Signal Processing 63 (18), 4814-4826, 2015
5152015
How to escape saddle points efficiently
C Jin, R Ge, P Netrapalli, SM Kakade, MI Jordan
arXiv preprint arXiv:1703.00887, 2017
4612017
Non-convex robust PCA
P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain
Advances in Neural Information Processing Systems 27, 1107-1115, 2014
2582014
Learning the graph of epidemic cascades
P Netrapalli, S Sanghavi
ACM SIGMETRICS Performance Evaluation Review 40 (1), 211-222, 2012
1772012
Learning sparsely used overcomplete dictionaries via alternating minimization
A Agarwal, A Anandkumar, P Jain, P Netrapalli
SIAM Journal on Optimization 26 (4), 2775-2799, 2016
1542016
Accelerated gradient descent escapes saddle points faster than gradient descent
C Jin, P Netrapalli, MI Jordan
Conference On Learning Theory, 1042-1085, 2018
1492018
Streaming PCA: Matching matrix Bernstein and near-optimal finite sample guarantees for Oja’s algorithm
P Jain, C Jin, SM Kakade, P Netrapalli, A Sidford
Conference on learning theory, 1147-1164, 2016
108*2016
Learning sparsely used overcomplete dictionaries
A Agarwal, A Anandkumar, P Jain, P Netrapalli, R Tandon
Conference on Learning Theory, 123-137, 2014
1062014
Information-theoretic thresholds for community detection in sparse networks
J Banks, C Moore, J Neeman, P Netrapalli
Conference on Learning Theory, 383-416, 2016
103*2016
Faster eigenvector computation via shift-and-invert preconditioning
D Garber, E Hazan, C Jin, C Musco, P Netrapalli, A Sidford
International Conference on Machine Learning, 2626-2634, 2016
98*2016
What is local optimality in nonconvex-nonconcave minimax optimization?
C Jin, P Netrapalli, M Jordan
International Conference on Machine Learning, 4880-4889, 2020
89*2020
Parallelizing stochastic gradient descent for least squares regression: mini-batching, averaging, and model misspecification
P Jain, P Netrapalli, SM Kakade, R Kidambi, A Sidford
The Journal of Machine Learning Research 18 (1), 8258-8299, 2017
89*2017
Accelerating stochastic gradient descent for least squares regression
P Jain, SM Kakade, R Kidambi, P Netrapalli, A Sidford
Conference On Learning Theory, 545-604, 2018
85*2018
A clustering approach to learning sparsely used overcomplete dictionaries
A Agarwal, A Anandkumar, P Netrapalli
IEEE Transactions on Information Theory 63 (1), 575-592, 2016
84*2016
Fast exact matrix completion with finite samples
P Jain, P Netrapalli
Conference on Learning Theory, 1007-1034, 2015
802015
Provable efficient online matrix completion via non-convex stochastic gradient descent
C Jin, SM Kakade, P Netrapalli
arXiv preprint arXiv:1605.08370, 2016
762016
One-bit compressed sensing: Provable support and vector recovery
S Gopi, P Netrapalli, P Jain, A Nori
International Conference on Machine Learning, 154-162, 2013
692013
Efficient algorithms for large-scale generalized eigenvector computation and canonical correlation analysis
R Ge, C Jin, P Netrapalli, A Sidford
International Conference on Machine Learning, 2741-2750, 2016
542016
On the insufficiency of existing momentum schemes for stochastic optimization
R Kidambi, P Netrapalli, P Jain, S Kakade
2018 Information Theory and Applications Workshop (ITA), 1-9, 2018
532018
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Articles 1–20