Zeyuan Allen-Zhu

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Yuanzhi LiAssistant Professor at CMUCorreu electrònic verificat a andrew.cmu.edu
Weizhu ChenMicrosoftCorreu electrònic verificat a microsoft.com
Lorenzo OrecchiaUniversity of Chicago, Computer ScienceCorreu electrònic verificat a bu.edu
Edward HuOpenAICorreu electrònic verificat a openai.com
Phillip WallisGoogleCorreu electrònic verificat a google.com
Yelong ShenMicrosoftCorreu electrònic verificat a microsoft.com
Elad HazanProfessor at Princeton University and Director Google AI PrincetonCorreu electrònic verificat a princeton.edu
Yang YuanTsinghua UniversityCorreu electrònic verificat a tsinghua.edu.cn
Zhao SongSimons Institute for the Theory of Computing, UC BerkeleyCorreu electrònic verificat a ias.edu
Alessandro ChiesaEPFLCorreu electrònic verificat a epfl.ch
Sebastien BubeckOpenAICorreu electrònic verificat a openai.com
Chenguang ZhuHead of Zoom GenAI ScienceCorreu electrònic verificat a zoom.us
Naman AgarwalSenior Research Scientist, Google AI PrincetonCorreu electrònic verificat a google.com
Tengyu MAStanford UniversityCorreu electrònic verificat a stanford.edu
Brian BullinsAssistant Professor, Purdue UniversityCorreu electrònic verificat a purdue.edu
Zhenyu LiaoApplied Scientist in Amazon Inc.Correu electrònic verificat a amazon.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyCorreu electrònic verificat a cs.berkeley.edu
Chi JinAssistant Professor, Princeton UniversityCorreu electrònic verificat a princeton.edu
Pinyan LuITCS, Shanghai University of Finance and EconomicsCorreu electrònic verificat a mail.shufe.edu.cn
Xiaorui SunUniversity of Illinois at ChicagoCorreu electrònic verificat a uic.edu

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Zeyuan Allen-Zhu

Meta AI / FAIR Labs

Correu electrònic verificat a csail.mit.edu - Pàgina d'inici

Language Models Machine Learning Optimization Algorithms Theory


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
LoRA: Low-rank adaptation of large language models EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen ICLR 2022: International Conference on Learning Representations, 2022	11709*	2022
A convergence theory for deep learning via over-parameterization Z Allen-Zhu, Y Li, Z Song ICML 2019: International Conference on Machine Learning, 2019	1732	2019
Is Q-learning Provably Efficient? C Jin, Z Allen-Zhu, S Bubeck, MI Jordan NIPS 2018: Neural Information Processing Systems, 2018	1022	2018
Learning and generalization in overparameterized neural networks, going beyond two layers Z Allen-Zhu, Y Li, Y Liang NeurIPS 2019: Neural Information Processing Systems, 2019	924	2019
Katyusha: the first direct acceleration of stochastic gradient methods Z Allen-Zhu STOC 2017: Symposium on Theory of Computing, 19-23, 2017	724	2017
Towards understanding ensemble, knowledge distillation and self-distillation in deep learning Z Allen-Zhu, Y Li ICLR 2023: International Conference on Learning Representations, 2023	475	2023
Variance reduction for faster non-convex optimization Z Allen-Zhu, E Hazan ICML 2016: International Conference on Machine Learning, 699-707, 2016	454	2016
Linear coupling: An ultimate unification of gradient and mirror descent Z Allen-Zhu, L Orecchia ITCS 2017: Innovations in Theoretical Computer Science, 2017	397	2017
Finding approximate local minima faster than gradient descent N Agarwal, Z Allen-Zhu, B Bullins, E Hazan, T Ma STOC 2017: Symposium on Theory of Computing, 1195-1199, 2017	367*	2017
Byzantine Stochastic Gradient Descent D Alistarh, Z Allen-Zhu, J Li NIPS 2018: Neural Information Processing Systems, 2018	356	2018
A simple, combinatorial algorithm for solving SDD systems in nearly-linear time JA Kelner, L Orecchia, A Sidford, ZA Zhu STOC 2013: Symposium on Theory of Computing, 911-920, 2013	301	2013
Natasha 2: Faster Non-Convex Optimization Than SGD Z Allen-Zhu NIPS 2018: Neural Information Processing Systems, 2018	271	2018
Improved SVRG for non-strongly-convex or sum-of-non-convex objectives Z Allen-Zhu, Y Yuan ICML 2016: International Conference on Machine Learning, 1080-1089, 2016	240	2016
What Can ResNet Learn Efficiently, Going Beyond Kernels? Z Allen-Zhu, Y Li NeurIPS 2019: Neural Information Processing Systems, 2019	236	2019
On the convergence rate of training recurrent neural networks Z Allen-Zhu, Y Li, Z Song NeurIPS 2019: Neural Information Processing Systems, 2019	218	2019
Even faster accelerated coordinate descent using non-uniform sampling Z Allen-Zhu, Z Qu, P Richtárik, Y Yuan ICML 2016: International Conference on Machine Learning, 1110-1119, 2016	214	2016
Asymptotically optimal strategy-proof mechanisms for two-facility games P Lu, X Sun, Y Wang, ZA Zhu ACM-EC 2010: Conference on Economics and Computation, 315-324, 2010	213	2010
Feature purification: How adversarial training performs robust deep learning Z Allen-Zhu, Y Li FOCS 2021: Symposium on Foundations of Computer Science, 977-988, 2022	189	2022
Neon2: Finding Local Minima via First-Order Oracles Z Allen-Zhu, Y Li NIPS 2018: Neural Information Processing Systems, 2018	164	2018
LazySVD: Even faster SVD decomposition yet without agonizing pain Z Allen-Zhu, Y Li NIPS 2016: Neural Information Processing Systems, 974-982, 2016	149	2016

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