Praneeth Netrapalli

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	Wszystkie	Od 2020
Cytowania	10260	7229
h-indeks	43	36
i10-indeks	66	62

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Prateek JainGoogle Research IndiaZweryfikowany adres z google.com
Sham M KakadeHarvard UniversityZweryfikowany adres z seas.harvard.edu
Chi JinAssistant Professor, Princeton UniversityZweryfikowany adres z princeton.edu
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, AustinZweryfikowany adres z mail.utexas.edu
Aaron SidfordStanford UniversityZweryfikowany adres z stanford.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyZweryfikowany adres z cs.berkeley.edu
Rong GeDuke UniversityZweryfikowany adres z cs.duke.edu
Dheeraj NagarajResearch Scientist, GoogleZweryfikowany adres z google.com
Sewoong OhPaul G. Allen School of Computer Science and Engineering, University of WashingtonZweryfikowany adres z cs.washington.edu
Kiran Koshy ThekumparampilAmazon, University of Illinois at Urbana-ChampaignZweryfikowany adres z illinois.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAZweryfikowany adres z caltech.edu
Alekh AgarwalGoogleZweryfikowany adres z google.com
Aravind RajeswaranMeta AI, UC BerkeleyZweryfikowany adres z cs.washington.edu
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityZweryfikowany adres z cs.cornell.edu
Cameron MuscoAssistant Professor, University of Massachusetts AmherstZweryfikowany adres z cs.umass.edu
Joe NeemanStatistics, UC BerkeleyZweryfikowany adres z stat.berkeley.edu
Dan GarberAssociate Professor at Technion - Israel Institute of TechnologyZweryfikowany adres z technion.ac.il
Rashish TandonAppleZweryfikowany adres z apple.com
Niranjan Uma NareshDirector of Science and EngineeringZweryfikowany adres z uci.edu

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Praneeth Netrapalli

Google Research

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Machine learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	1270	2013
How to escape saddle points efficiently C Jin, R Ge, P Netrapalli, SM Kakade, MI Jordan International conference on machine learning, 1724-1732, 2017	1048	2017
Morel: Model-based offline reinforcement learning R Kidambi, A Rajeswaran, P Netrapalli, T Joachims Advances in neural information processing systems 33, 21810-21823, 2020	810	2020
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi Advances in Neural Information Processing Systems 26, 2013	747	2013
What is local optimality in nonconvex-nonconcave minimax optimization? C Jin, P Netrapalli, M Jordan International conference on machine learning, 4880-4889, 2020	488*	2020
The pitfalls of simplicity bias in neural networks H Shah, K Tamuly, A Raghunathan, P Jain, P Netrapalli Advances in Neural Information Processing Systems 33, 9573-9585, 2020	420	2020
Non-convex robust PCA P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain Advances in neural information processing systems 27, 2014	376	2014
Accelerated gradient descent escapes saddle points faster than gradient descent C Jin, P Netrapalli, MI Jordan Conference On Learning Theory, 1042-1085, 2018	300	2018
On nonconvex optimization for machine learning: Gradients, stochasticity, and saddle points C Jin, P Netrapalli, R Ge, SM Kakade, MI Jordan Journal of the ACM (JACM) 68 (2), 1-29, 2021	254*	2021
Efficient algorithms for smooth minimax optimization KK Thekumparampil, P Jain, P Netrapalli, S Oh Advances in neural information processing systems 32, 2019	236	2019
Efficient domain generalization via common-specific low-rank decomposition V Piratla, P Netrapalli, S Sarawagi International conference on machine learning, 7728-7738, 2020	233	2020
Parallelizing stochastic gradient descent for least squares regression: mini-batching, averaging, and model misspecification P Jain, SM Kakade, R Kidambi, P Netrapalli, A Sidford Journal of machine learning research 18 (223), 1-42, 2018	230*	2018
Learning the graph of epidemic cascades P Netrapalli, S Sanghavi ACM SIGMETRICS Performance Evaluation Review 40 (1), 211-222, 2012	221	2012
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	203	2016
The step decay schedule: A near optimal, geometrically decaying learning rate procedure for least squares R Ge, SM Kakade, R Kidambi, P Netrapalli Advances in neural information processing systems 32, 2019	202	2019
A short note on concentration inequalities for random vectors with subgaussian norm C Jin, P Netrapalli, R Ge, SM Kakade, MI Jordan arXiv preprint arXiv:1902.03736, 2019	177	2019
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	160	2016
Information-theoretic thresholds for community detection in sparse networks J Banks, C Moore, J Neeman, P Netrapalli Conference on Learning Theory, 383-416, 2016	158*	2016
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	151	2018
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	145	2018

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