Yi Zhang

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Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Rong GeDuke UniversityVerified email at cs.duke.edu
Cyril ZhangMicrosoft Research NYCVerified email at microsoft.com
Holden LeeAssistant Professor of Applied Mathematics and Statistics, Johns Hopkins UniversityVerified email at jhu.edu
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
Sebastien BubeckSr Principal Research Manager, ML Foundations group, Microsoft ResearchVerified email at microsoft.com
Honglak LeeLG AI Research / U. MichiganVerified email at umich.edu
Yuting ZhangAmazon Web ServicesVerified email at amazon.com
Yingyu LiangUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Tengyu MAStanford UniversityVerified email at stanford.edu
Behnam NeyshaburSenior Staff Research Scientist, DeepMindVerified email at google.com
Ronen EldanWeizmann InstituteVerified email at weizmann.ac.il
Yin Tat LeePaul G. Allen School of Computer Science & Engineering, University of WashingtonVerified email at uw.edu
Xiaogang WangProfessor of Electronic Engineering, the Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
Tong XiaoFacebook IncVerified email at fb.com
Cheng TaiMoqi,Inc.Verified email at moqi.ai
Andrej RisteskiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Scott ReedResearch Scientist, Google DeepMindVerified email at google.com
Xinyi ChenPrinceton University, Google AIVerified email at princeton.edu
Zhiyuan LiPostdoc, Stanford UniversityVerified email at stanford.edu

Yi Zhang

Senior Researcher at Microsoft Research Redmond

Verified email at microsoft.com - Homepage

Machine Learning Theory of Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Generalization and Equilibrium in Generative Adversarial Nets (GANs) S Arora, R Ge, Y Liang, T Ma, Y Zhang arXiv preprint arXiv:1703.00573, 2017	685	2017
Stronger generalization bounds for deep nets via a compression approach S Arora, R Ge, B Neyshabur, Y Zhang International Conference on Machine Learning, 254-263, 2018	567	2018
Convolutional neural networks with low-rank regularization C Tai, T Xiao, Y Zhang, X Wang arXiv preprint arXiv:1511.06067, 2015	452	2015
Deep visual analogy-making SE Reed, Y Zhang, Y Zhang, H Lee Advances in neural information processing systems 28, 2015	314	2015
Sparks of artificial general intelligence: Early experiments with gpt-4 S Bubeck, V Chandrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar, ... arXiv preprint arXiv:2303.12712, 2023	203	2023
Do GANs actually learn the distribution? An empirical study S Arora, Y Zhang arXiv:1706.08224, 2017	180	2017
Do GANs learn the distribution? some theory and empirics S Arora, A Risteski, Y Zhang International Conference on Learning Representations, 2018	143	2018
Spectral filtering for general linear dynamical systems E Hazan, H Lee, K Singh, C Zhang, Y Zhang Advances in Neural Information Processing Systems 31, 2018	84	2018
Towards Understanding the Invertibility of Convolutional Neural Networks CA Gilbert, Y Zhang, K Lee, Y Zhang, H Lee arXiv preprint arXiv:1705.08664, 2017	70	2017
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets R Kuditipudi, X Wang, H Lee, Y Zhang, Z Li, W Hu, S Arora, R Ge arXiv:1906.06247, 2019	66	2019
Efficient full-matrix adaptive regularization N Agarwal, B Bullins, X Chen, E Hazan, K Singh, C Zhang, Y Zhang International Conference on Machine Learning, 102-110, 2019	45	2019
Why are convolutional nets more sample-efficient than fully-connected nets? Z Li, Y Zhang, S Arora arXiv preprint arXiv:2010.08515, 2020	37	2020
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality Y Zhang, O Plevrakis, SS Du, X Li, Z Song, S Arora arXiv:2002.06668, 2020	33	2020
Towards provable control for unknown linear dynamical systems S Arora, E Hazan, H Lee, K Singh, C Zhang, Y Zhang	27	2018
Not-So-Random Features B Brian, Z Cyril, Z Yi arXiv:1710.10230, 2017	22*	2017
Calibration, Entropy Rates, and Memory in Language Models M Braverman, X Chen, SM Kakade, K Narasimhan, C Zhang, Y Zhang arXiv preprint arXiv:1906.05664, 2019	20	2019
Unveiling transformers with lego: a synthetic reasoning task Y Zhang, A Backurs, S Bubeck, R Eldan, S Gunasekar, T Wagner arXiv preprint arXiv:2206.04301, 2022	19	2022
Theoretical limitations of Encoder-Decoder GAN architectures S Arora, A Risteski, Y Zhang arXiv:1711.02651, 2017	19	2017
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning N Saunshi, Y Zhang, M Khodak, S Arora arXiv:2002.11172, 2020	17	2020
No-Regret Prediction in Marginally Stable Systems U Ghai, H Lee, K Singh, CZ Zhang, Y Zhang arXiv:2002.02064, 2020	17	2020

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