Tengyu MA

Cited by

	All	Since 2017
Citations	9081	8705
h-index	42	40
i10-index	65	65

2500

1250

625

1875

2015201620172018201920202021202279 225 526 923 1329 1699 2432 1786

Public access

View all

27 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Rong GeDuke UniversityVerified email at cs.duke.edu
Colin WeiStanford UniversityVerified email at stanford.edu
Yingyu LiangUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science , Princeton UniversityVerified email at princeton.edu
Yuanzhi LiAssistant Professor at CMUVerified email at andrew.cmu.edu
Andrej RisteskiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Ananya KumarPhD Student, Stanford UniversityVerified email at cs.stanford.edu
Adrien GaidonHead of Machine Learning Research, Toyota Research Institute (TRI)Verified email at tri.global
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
Yining ChenStanford UniversityVerified email at stanford.edu
Kaidi CaoStanford UniversityVerified email at cs.stanford.edu
Yuping LuoComputer Science Department, Princeton UniversityVerified email at cs.princeton.edu
Garrett ThomasStanford UniversityVerified email at stanford.edu
Aditya BhaskaraUniversity of UtahVerified email at cs.utah.edu
Jeff Z. HaoChenPhD Student, Stanford UniversityVerified email at stanford.edu
Moritz HardtDirector, Max Planck Institute for Intelligent Systems; Associate Professor, EECS, UC BerkeleyVerified email at is.mpg.de
Nikos ArechigaToyota Research InstituteVerified email at tri.global
Naman AgarwalSenior Research Scientist, Google AI PrincetonVerified email at google.com

Tengyu MA

Stanford University

Verified email at stanford.edu - Homepage

Machine Learning Deep Learning Theory Machine Learning Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A simple but tough-to-beat baseline for sentence embeddings S Arora, Y Liang, T Ma ICLR 2017, 2016	1205	2016
Matrix Completion has No Spurious Local Minimum R Ge, JD Lee, T Ma NIPS 2016 (best student paper). arXiv preprint arXiv:1605.07272, 2016	606	2016
Generalization and Equilibrium in Generative Adversarial Nets (GANs) S Arora, R Ge, Y Liang, T Ma, Y Zhang ICML 2017;arXiv preprint arXiv:1703.00573, 2017, 2017	582	2017
Learning imbalanced datasets with label-distribution-aware margin loss K Cao, C Wei, A Gaidon, N Arechiga, T Ma NeurIPS 2019; arXiv preprint arXiv:1906.07413, 2019	541	2019
Provable bounds for learning some deep representations S Arora, A Bhaskara, R Ge, T Ma International conference on machine learning, 584-592, 2014	392	2014
A latent variable model approach to pmi-based word embeddings S Arora, Y Li, Y Liang, T Ma, A Risteski Transactions of the Association for Computational Linguistics 4, 385-399, 2016	390*	2016
Identity Matters in Deep Learning M Hardt, T Ma ICLR 2017, 2016	328	2016
On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021	298	2021
Finding Approximate Local Minima for Nonconvex Optimization in Linear Time N Agarwal, Z Allen-Zhu, B Bullins, E Hazan, T Ma STOC 2017, 2016	290*	2016
Mopo: Model-based offline policy optimization T Yu, G Thomas, L Yu, S Ermon, JY Zou, S Levine, C Finn, T Ma Advances in Neural Information Processing Systems 33, 14129-14142, 2020	262	2020
Gradient descent learns linear dynamical systems M Hardt, T Ma, B Recht arXiv preprint arXiv:1609.05191, 2016	253	2016
Learning one-hidden-layer neural networks with landscape design R Ge, JD Lee, T Ma ICLR 2017; arXiv preprint arXiv:1711.00501, 2017	231	2017
Algorithmic Regularization in Over-parameterized Matrix Recovery and Neural Networks with Quadratic Activations Y Li, T Ma, H Zhang COLT 2018 (best paper); arXiv preprint arXiv:1712.09203, 2017	222*	2017
Fixup initialization: Residual learning without normalization H Zhang, YN Dauphin, T Ma arXiv preprint arXiv:1901.09321, 2019	219	2019
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel TM Colin Wei, Jason D. Lee, Qiang Liu arXiv preprint arXiv:1810.05369, 2019	189*	2019
Simple, efficient, and neural algorithms for sparse coding S Arora, R Ge, T Ma, A Moitra Conference on Learning Theory (COLT) 2015. arXiv preprint arXiv:1503.00778, 2015	186	2015
Linear algebraic structure of word senses, with applications to polysemy S Arora, Y Li, Y Liang, T Ma, A Risteski arXiv preprint arXiv:1601.03764, 2016	184	2016
Verified uncertainty calibration A Kumar, PS Liang, T Ma Advances in Neural Information Processing Systems 32, 2019	170	2019
Towards explaining the regularization effect of initial large learning rate in training neural networks Y Li, C Wei, T Ma Advances in Neural Information Processing Systems 32, 2019	166	2019
Algorithmic framework for model-based deep reinforcement learning with theoretical guarantees Y Luo, H Xu, Y Li, Y Tian, T Darrell, T Ma arXiv preprint arXiv:1807.03858, 2018	155	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors