Zhiyuan Li

Citirano

	Sve	Od 2019.
Citati	4797	4742
H-indeks	26	26
i10-indeks	32	32

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Suautori

Sanjeev AroraProfessor of Computer Science, Princeton UniversityPotvrđena adresa e-pošte na cs.princeton.edu
Wei HuAssistant Professor of Computer Science and Engineering, University of MichiganPotvrđena adresa e-pošte na umich.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Ruosong WangAssistant Professor, Peking UniversityPotvrđena adresa e-pošte na pku.edu.cn
Kaifeng LyuPrinceton UniversityPotvrđena adresa e-pošte na princeton.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUPotvrđena adresa e-pošte na cs.cmu.edu
Dingli YuPrinceton UniversityPotvrđena adresa e-pošte na cs.princeton.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchPotvrđena adresa e-pošte na google.com
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityPotvrđena adresa e-pošte na cs.nyu.edu
Behnam NeyshaburSenior Staff Research Scientist, DeepMindPotvrđena adresa e-pošte na google.com
Nathan SrebroProfessor, TTIC and University of ChicagoPotvrđena adresa e-pošte na ttic.edu
Yi ZhangSenior Researcher at Microsoft Research RedmondPotvrđena adresa e-pošte na microsoft.com
Yuping LuoComputer Science Department, Princeton UniversityPotvrđena adresa e-pošte na cs.princeton.edu
Eva TardosProfessor of Computer Science, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstitutePotvrđena adresa e-pošte na ttic.edu
Dylan J. FosterPrincipal Researcher, Microsoft ResearchPotvrđena adresa e-pošte na microsoft.com
Thodoris LykourisMITPotvrđena adresa e-pošte na mit.edu
Rong GeDuke UniversityPotvrđena adresa e-pošte na cs.duke.edu
Holden LeeAssistant Professor of Applied Mathematics and Statistics, Johns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
Xiang WangMeta, Duke UniversityPotvrđena adresa e-pošte na meta.com

Prati

Zhiyuan Li

Assistant Professor, Toyota Technological Institute at Chicago

Potvrđena adresa e-pošte na ttic.edu - Početna stranica

deep learning theory machine learning theory


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	1047	2019
On exact computation with an infinitely wide neural net S Arora, SS Du, W Hu, Z Li, RR Salakhutdinov, R Wang Advances in neural information processing systems 32, 2019	986	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	606	2018
An exponential learning rate schedule for deep learning Z Li, S Arora arXiv preprint arXiv:1910.07454, 2019	216	2019
Harnessing the power of infinitely wide deep nets on small-data tasks S Arora, SS Du, Z Li, R Salakhutdinov, R Wang, D Yu	189	2019
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	136	2020
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	129	2019
Theoretical analysis of auto rate-tuning by batch normalization S Arora, Z Li, K Lyu arXiv preprint arXiv:1812.03981, 2018	129	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, 2016	125	2016
Understanding gradient descent on the edge of stability in deep learning S Arora, Z Li, A Panigrahi International Conference on Machine Learning, 948-1024, 2022	103	2022
What Happens after SGD Reaches Zero Loss?--A Mathematical Framework Z Li, T Wang, S Arora arXiv preprint arXiv:2110.06914, 2021	96	2021
Simple and effective regularization methods for training on noisily labeled data with generalization guarantee W Hu, Z Li, D Yu International Conference on Learning Representations (ICLR 2020), 2019	95*	2019
Explaining landscape connectivity of low-cost solutions for multilayer nets R Kuditipudi, X Wang, H Lee, Y Zhang, Z Li, W Hu, R Ge, S Arora Advances in neural information processing systems 32, 2019	93	2019
Sophia: A scalable stochastic second-order optimizer for language model pre-training H Liu, Z Li, D Hall, P Liang, T Ma arXiv preprint arXiv:2305.14342, 2023	87	2023
On the validity of modeling sgd with stochastic differential equations (sdes) Z Li, S Malladi, S Arora Advances in Neural Information Processing Systems 34, 12712-12725, 2021	79	2021
Gradient descent on two-layer nets: Margin maximization and simplicity bias K Lyu, Z Li, R Wang, S Arora Advances in Neural Information Processing Systems 34, 12978-12991, 2021	74	2021
Understanding the generalization benefit of normalization layers: Sharpness reduction K Lyu, Z Li, S Arora Advances in Neural Information Processing Systems 35, 34689-34708, 2022	70	2022
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, 14544-14555, 2020	69	2020
How Does Sharpness-Aware Minimization Minimizes Sharpness? K Wen, T Ma, Z Li The Eleventh International Conference on Learning Representations, 2023	63	2023
Why are convolutional nets more sample-efficient than fully-connected nets? Z Li, Y Zhang, S Arora arXiv preprint arXiv:2010.08515, 2020	59	2020

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