Cyril Zhang

Citirano

	Sve	Od 2020.
Citati	2099	1982
H-indeks	17	17
i10-indeks	27	27

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Elad HazanProfessor at Princeton University and Director Google AI PrincetonPotvrđena adresa e-pošte na princeton.edu
Karan SinghCarnegie Mellon UniversityPotvrđena adresa e-pošte na cmu.edu
Surbhi GoelAssistant Professor, University of PennsylvaniaPotvrđena adresa e-pošte na cis.upenn.edu
Sham M KakadeHarvard UniversityPotvrđena adresa e-pošte na seas.harvard.edu
Akshay KrishnamurthyUniversity of Massachusetts AmherstPotvrđena adresa e-pošte na cs.umass.edu
Naman AgarwalSenior Research Scientist, Google AI PrincetonPotvrđena adresa e-pošte na google.com
Jordan T. AshMicrosoft Research NYCPotvrđena adresa e-pošte na princeton.edu
Yi ZhangSenior Researcher at Microsoft Research RedmondPotvrđena adresa e-pošte na microsoft.com
Xinyi ChenPrinceton University, Google DeepMindPotvrđena adresa e-pošte na princeton.edu
Benjamin L. EdelmanHarvard UniversityPotvrđena adresa e-pošte na g.harvard.edu
Holden LeeAssistant Professor of Applied Mathematics and Statistics, Johns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
Udaya GhaiAmazon, NYCPotvrđena adresa e-pošte na amazon.com
Sanjeev AroraProfessor of Computer Science, Princeton UniversityPotvrđena adresa e-pošte na cs.princeton.edu
Eran MalachKempner Institute, HarvardPotvrđena adresa e-pošte na fas.harvard.edu
Bingbin LiuPostdoc research fellow at Simons Institute; PhD from Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Brian BullinsAssistant Professor, Purdue UniversityPotvrđena adresa e-pošte na purdue.edu
Daniel SuoPrinceton UniversityPotvrđena adresa e-pošte na fas.harvard.edu
Tomer KorenAssociate Professor at Tel Aviv UniversityPotvrđena adresa e-pošte na tauex.tau.ac.il
Nikunj SaunshiResearch Scientist, GooglePotvrđena adresa e-pošte na google.com
Paula GraduPhD student, UC BerkeleyPotvrđena adresa e-pošte na berkeley.edu

Prati

Cyril Zhang

Microsoft Research NYC

Potvrđena adresa e-pošte na microsoft.com - Početna stranica

learning algorithms


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Phi-3 technical report: A highly capable language model locally on your phone M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... arXiv preprint arXiv:2404.14219, 2024	673	2024
Transformers learn shortcuts to automata B Liu, JT Ash, S Goel, A Krishnamurthy, C Zhang International Conference on Learning Representations, 2023	175	2023
Hidden progress in deep learning: SGD learns parities near the computational limit B Barak, BL Edelman, S Goel, S Kakade, E Malach, C Zhang Advances in Neural Information Processing Systems, 2022	135	2022
Inductive biases and variable creation in self-attention mechanisms BL Edelman, S Goel, S Kakade, C Zhang International Conference on Machine Learning, 5793-5831, 2022	132	2022
Understanding contrastive learning requires incorporating inductive biases N Saunshi, J Ash, S Goel, D Misra, C Zhang, S Arora, S Kakade, ... International Conference on Machine Learning, 19250-19286, 2022	127	2022
Learning Linear Dynamical Systems via Spectral Filtering E Hazan, K Singh, C Zhang Advances in Neural Information Processing Systems, 6705-6715, 2017	116	2017
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	111	2018
Efficient Regret Minimization in Non-Convex Games E Hazan, K Singh, C Zhang International Conference on Machine Learning 70, 1433-1441, 2017	108	2017
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	89*	2019
Exposing Attention Glitches with Flip-Flop Language Modeling B Liu, JT Ash, S Goel, A Krishnamurthy, C Zhang Advances in Neural Information Processing Systems 37, 2023	46	2023
Disentangling adaptive gradient methods from learning rates N Agarwal, R Anil, E Hazan, T Koren, C Zhang arXiv preprint arXiv:2002.11803, 2020	44	2020
Calibration, entropy rates, and memory in language models M Braverman, X Chen, SM Kakade, K Narasimhan, C Zhang, Y Zhang International Conference on Machine Learning, 2020	41	2020
A combined spectroscopic and photometric stellar activity study of Epsilon Eridani MJ Giguere, DA Fischer, CXY Zhang, JM Matthews, C Cameron, ... The Astrophysical Journal 824 (2), 150, 2016	38	2016
Not-So-Random Features B Bullins, C Zhang, Y Zhang International Conference on Learning Representations, 2018	28	2018
Acceleration via fractal learning rate schedules N Agarwal, S Goel, C Zhang International Conference on Machine Learning, 87-99, 2021	27	2021
Towards provable control for unknown linear dynamical systems S Arora, E Hazan, H Lee, K Singh, C Zhang, Y Zhang International Conference on Learning Representations, Workshop, 2018	26	2018
No-regret prediction in marginally stable systems U Ghai, H Lee, K Singh, C Zhang, Y Zhang Conference on Learning Theory, 2020	21	2020
Can large language models explore in-context? A Krishnamurthy, K Harris, DJ Foster, C Zhang, A Slivkins arXiv preprint arXiv:2403.15371, 2024	17	2024
Machine learning for mechanical ventilation control D Suo, N Agarwal, W Xia, X Chen, U Ghai, A Yu, P Gradu, K Singh, ... arXiv preprint arXiv:2102.06779, 2021	17*	2021
Stochastic Optimization with Laggard Data Pipelines N Agarwal, R Anil, T Koren, K Talwar, C Zhang Advances in Neural Information Processing Systems 33, 2020	16	2020

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