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
Yi ZhangSenior Researcher at Microsoft Research RedmondVerified email at microsoft.com
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Surbhi GoelAssistant Professor, University of PennsylvaniaVerified email at cis.upenn.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
Akshay KrishnamurthyUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Jordan T. AshMicrosoft Research NYCVerified email at princeton.edu
Tomer KorenAssistant Professor at Tel Aviv UniversityVerified email at tauex.tau.ac.il
Brian BullinsAssistant Professor, Purdue UniversityVerified email at purdue.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Udaya GhaiGraduate Student, Princeton UniversityVerified email at cs.princeton.edu
Daniel SuoPrinceton UniversityVerified email at fas.harvard.edu
Rohan AnilPrincipal Engineer, Google BrainVerified email at google.com
Nikunj SaunshiResearch Scientist, GoogleVerified email at google.com
Benjamin L. EdelmanHarvard UniversityVerified email at g.harvard.edu
Dipendra MisraMicrosoft Research New YorkVerified email at microsoft.com
Debra FischerProfessor of Astronomy, Yale UniveristyVerified email at yale.edu
Karthik NarasimhanAssistant Professor, Princeton UniversityVerified email at cs.princeton.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
Learning Linear Dynamical Systems via Spectral Filtering E Hazan, K Singh, C Zhang Advances in Neural Information Processing Systems, 6705-6715, 2017	90	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	81	2018
Efficient Regret Minimization in Non-Convex Games E Hazan, K Singh, C Zhang International Conference on Machine Learning 70, 1433-1441, 2017	72	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	59	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	39	2022
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	31	2016
Disentangling adaptive gradient methods from learning rates N Agarwal, R Anil, E Hazan, T Koren, C Zhang arXiv preprint arXiv:2002.11803, 2020	26	2020
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	25	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	20	2020
Not-So-Random Features B Bullins, C Zhang, Y Zhang International Conference on Learning Representations, 2018	20	2018
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	18	2022
No-regret prediction in marginally stable systems U Ghai, H Lee, K Singh, C Zhang, Y Zhang Conference on Learning Theory, 2020	17	2020
Pixie: a social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa prize proceedings, 2017	15	2017
Acceleration via fractal learning rate schedules N Agarwal, S Goel, C Zhang International Conference on Machine Learning, 87-99, 2021	13	2021
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	12	2022
Robust guarantees for learning an autoregressive filter H Lee, C Zhang International Conference on Algorithmic Learning Theory, 2020	9	2020
Stochastic Optimization with Laggard Data Pipelines N Agarwal, R Anil, T Koren, K Talwar, C Zhang Advances in Neural Information Processing Systems 33, 2020	8	2020
Extreme Tensoring for Low-Memory Preconditioning X Chen, N Agarwal, E Hazan, C Zhang, Y Zhang International Conference on Learning Representations, 2020	8	2020
Transformers learn shortcuts to automata B Liu, JT Ash, S Goel, A Krishnamurthy, C Zhang arXiv preprint arXiv:2210.10749, 2022	7	2022
Anti-Concentrated Confidence Bonuses for Scalable Exploration JT Ash, C Zhang, S Goel, A Krishnamurthy, S Kakade International Conference on Learning Representations, 2022	6	2022

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