Cyril Zhang

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Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
Naman AgarwalSenior Research Scientist, Google AI PrincetonVerified email at google.com
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Surbhi GoelAssistant Professor, University of PennsylvaniaVerified email at cis.upenn.edu
Yi ZhangSenior Researcher at Microsoft Research RedmondVerified email at microsoft.com
Akshay KrishnamurthyUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Holden LeeAssistant Professor of Applied Mathematics and Statistics, Johns Hopkins UniversityVerified email at jhu.edu
Xinyi ChenPrinceton University, Google AIVerified email at princeton.edu
Jordan T. AshMicrosoft Research NYCVerified email at princeton.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Brian BullinsAssistant Professor, Purdue UniversityVerified email at purdue.edu
Tomer KorenAssistant Professor at Tel Aviv UniversityVerified email at tauex.tau.ac.il
Benjamin L. EdelmanHarvard UniversityVerified email at g.harvard.edu
Udaya GhaiGraduate Student, Princeton UniversityVerified email at cs.princeton.edu
Daniel SuoPrinceton UniversityVerified email at fas.harvard.edu
Nikunj SaunshiResearch Scientist, GoogleVerified email at google.com
Rohan AnilPrincipal Engineer, Google BrainVerified email at google.com
Paula GraduPhD student, UC BerkeleyVerified email at berkeley.edu
Eran MalachSchool of Computer Science, Hebrew UniversityVerified email at mail.huji.ac.il
Bingbin LiuPhD Student in Machine Learning Department, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Cyril Zhang

Microsoft Research NYC

Verified email at microsoft.com - Homepage

learning algorithms


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	89	2018
Learning Linear Dynamical Systems via Spectral Filtering E Hazan, K Singh, C Zhang Advances in Neural Information Processing Systems, 6705-6715, 2017	89	2017
Efficient Regret Minimization in Non-Convex Games E Hazan, K Singh, C Zhang International Conference on Machine Learning 70, 1433-1441, 2017	78	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	69	2019
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	58	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	42	2022
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	41	2022
Transformers learn shortcuts to automata B Liu, JT Ash, S Goel, A Krishnamurthy, C Zhang arXiv preprint arXiv:2210.10749, 2022	35	2022
Disentangling adaptive gradient methods from learning rates N Agarwal, R Anil, E Hazan, T Koren, C Zhang arXiv preprint arXiv:2002.11803, 2020	34	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	34	2016
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	27	2018
Not-So-Random Features B Bullins, C Zhang, Y Zhang International Conference on Learning Representations, 2018	24	2018
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	23	2020
No-regret prediction in marginally stable systems U Ghai, H Lee, K Singh, C Zhang, Y Zhang Conference on Learning Theory, 2020	18	2020
Acceleration via fractal learning rate schedules N Agarwal, S Goel, C Zhang International Conference on Machine Learning, 87-99, 2021	16	2021
Pixie: a social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa prize proceedings, 2017	14	2017
Stochastic Optimization with Laggard Data Pipelines N Agarwal, R Anil, T Koren, K Talwar, C Zhang Advances in Neural Information Processing Systems 33, 2020	12	2020
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	10*	2021
Extreme Tensoring for Low-Memory Preconditioning X Chen, N Agarwal, E Hazan, C Zhang, Y Zhang International Conference on Learning Representations, 2020	10	2020
Robust guarantees for learning an autoregressive filter H Lee, C Zhang International Conference on Algorithmic Learning Theory, 2020	10	2020

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