Zhiyuan Li

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Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Wei HuUniversity of California, BerkeleyVerified email at berkeley.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Ruosong WangPhD Student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Dingli YuPrinceton UniversityVerified email at cs.princeton.edu
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Behnam NeyshaburStaff Research Scientist, GoogleVerified email at google.com
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at google.com
Kaifeng LyuPrinceton UniversityVerified email at princeton.edu
Rong GeDuke UniversityVerified email at cs.duke.edu
Holden LeePostdoc in mathematics, Duke UniversityVerified email at duke.edu
Eva TardosProfessor of Computer Science, Cornell UniversityVerified email at cornell.edu
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerified email at ttic.edu
Dylan J. FosterMicrosoft ResearchVerified email at microsoft.com
Thodoris LykourisMITVerified email at mit.edu
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at cs.princeton.edu
Yi ZhangPhD student of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Bart SelmanProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu

Zhiyuan Li

Graduate Student, Princeton University

Verified email at princeton.edu - Homepage

theoretical machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks S Arora, S Du, W Hu, Z Li, R Wang International Conference on Machine Learning, 322-332, 2019	443	2019
On exact computation with an infinitely wide neural net S Arora, SS Du, W Hu, Z Li, R Salakhutdinov, R Wang arXiv preprint arXiv:1904.11955, 2019	376	2019
Towards understanding the role of over-parametrization in generalization of neural networks B Neyshabur, Z Li, S Bhojanapalli, Y LeCun, N Srebro arXiv preprint arXiv:1805.12076, 2018	303*	2018
Learning in games: Robustness of fast convergence DJ Foster, Z Li, T Lykouris, K Sridharan, E Tardos Advances in Neural Information Processing Systems 29, 4734-4742, 2016	81	2016
Harnessing the power of infinitely wide deep nets on small-data tasks S Arora, SS Du, Z Li, R Salakhutdinov, R Wang, D Yu arXiv preprint arXiv:1910.01663, 2019	67	2019
An exponential learning rate schedule for deep learning Z Li, S Arora arXiv preprint arXiv:1910.07454, 2019	58	2019
Theoretical analysis of auto rate-tuning by batch normalization S Arora, Z Li, K Lyu arXiv preprint arXiv:1812.03981, 2018	58	2018
Enhanced convolutional neural tangent kernels Z Li, R Wang, D Yu, SS Du, W Hu, R Salakhutdinov, S Arora arXiv preprint arXiv:1911.00809, 2019	52	2019
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 preprint arXiv:1906.06247, 2019	36	2019
Simple and effective regularization methods for training on noisily labeled data with generalization guarantee W Hu, Z Li, D Yu arXiv preprint arXiv:1905.11368, 2019	26*	2019
Solving marginal map problems with np oracles and parity constraints Y Xue, Z Li, S Ermon, CP Gomes, B Selman Advances in Neural Information Processing Systems 29, 1127-1135, 2016	16	2016
Online Improper Learning with an Approximation Oracle E Hazan, W Hu, Y Li, Z Li Advances in Neural Information Processing Systems, 5657-5665, 2018	13	2018
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? Z Li, Y Zhang, S Arora arXiv preprint arXiv:2010.08515, 2020	9	2020
Towards resolving the implicit bias of gradient descent for matrix factorization: Greedy low-rank learning Z Li, Y Luo, K Lyu arXiv preprint arXiv:2012.09839, 2020	8	2020
Reconciling modern deep learning with traditional optimization analyses: The intrinsic learning rate Z Li, K Lyu, S Arora Advances in Neural Information Processing Systems 33, 2020	7	2020
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs) Z Li, S Malladi, S Arora arXiv preprint arXiv:2102.12470, 2021	6	2021
Implicit regularization of normalization methods X Wu, E Dobriban, T Ren, S Wu, Z Li, S Gunasekar, R Ward, Q Liu arXiv preprint arXiv:1911.07956, 2019	5	2019
Stability of generalized two-sided markets with transaction thresholds Z Li, Y Liu, P Tang, T Xu, W Zhan Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017	4	2017
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning Y Duan, C Jin, Z Li arXiv preprint arXiv:2103.13883, 2021	3	2021
When is Particle Filtering Efficient for POMDP Sequential Planning? SS Du, W Hu, Z Li, R Shen, Z Song, J Wu arXiv preprint arXiv:2006.05975, 2020	1	2020

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