Cyril Zhang

Cited by

	All	Since 2017
Citations	404	404
h-index	10	10
i10-index	10	10

140

105

2017201820192020202120229 30 74 130 109 50

Public access

View all

6 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at cs.princeton.edu
Karan SinghPostdoc, Microsoft ResearchVerified email at microsoft.com
Naman AgarwalSenior Research Scientist, Google AI PrincetonVerified email at google.com
Yi ZhangPostdoctoral Researcher at Microsoft Research RedmondVerified email at microsoft.com
Holden LeePostdoc in mathematics, Duke UniversityVerified email at duke.edu
Xinyi ChenPrinceton University, Google AIVerified email at princeton.edu
Brian BullinsResearch Assistant Professor, TTI-ChicagoVerified email at ttic.edu
Tomer KorenSchool of Computer Science, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Daniel SuoPrinceton UniversityVerified email at fas.harvard.edu
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Udaya GhaiGraduate Student, Princeton UniversityVerified email at cs.princeton.edu
Rohan AnilPrincipal Engineer, Google BrainVerified email at google.com
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Surbhi GoelPostdoctoral Researcher, Microsoft Research NYCVerified email at microsoft.com
Nikunj SaunshiPrinceton UniversityVerified email at princeton.edu
Debra FischerProfessor of Astronomy, Yale UniveristyVerified email at yale.edu
Karthik NarasimhanAssistant Professor, Princeton UniversityVerified email at cs.princeton.edu
Akshay KrishnamurthyUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Jordan T. AshMicrosoft Research NYCVerified email at princeton.edu
Edgar MinasyanPrinceton UniversityVerified email at princeton.edu

Cyril Zhang

Microsoft Research

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	84*	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	64	2018
Efficient Regret Minimization in Non-Convex Games E Hazan, K Singh, C Zhang International Conference on Machine Learning 70, 1433-1441, 2017	60	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	49	2019
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	28	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	20	2018
Disentangling adaptive gradient methods from learning rates N Agarwal, R Anil, E Hazan, T Koren, C Zhang arXiv preprint arXiv:2002.11803, 2020	16*	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	15	2020
Not-So-Random Features B Bullins, C Zhang, Y Zhang International Conference on Learning Representations, 2018	15	2018
Pixie: a social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa prize proceedings, 2017	12	2017
No-regret prediction in marginally stable systems U Ghai, H Lee, K Singh, C Zhang, Y Zhang Conference on Learning Theory, 2020	9	2020
Extreme Tensoring for Low-Memory Preconditioning X Chen, N Agarwal, E Hazan, C Zhang, Y Zhang International Conference on Learning Representations, 2020	7	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	6	2020
Robust guarantees for learning an autoregressive filter H Lee, C Zhang International Conference on Algorithmic Learning Theory, 2020	6	2020
Machine learning for mechanical ventilation control D Suo, C Zhang, P Gradu, U Ghai, X Chen, E Minasyan, N Agarwal, ... arXiv preprint arXiv:2102.06779, 2021	4	2021
Acceleration via fractal learning rate schedules N Agarwal, S Goel, C Zhang International Conference on Machine Learning, 87-99, 2021	3	2021
Deluca–A Differentiable Control Library: Environments, Methods, and Benchmarking P Gradu, J Hallman, D Suo, A Yu, N Agarwal, U Ghai, K Singh, C Zhang, ... NeurIPS Workshop on Differentiable Computer Vision, Graphics, and Physics, 2020	3	2020
Understanding contrastive learning requires incorporating inductive biases N Saunshi, J Ash, S Goel, D Misra, C Zhang, S Arora, S Kakade, ... arXiv preprint arXiv:2202.14037, 2022	2	2022
Anti-Concentrated Confidence Bonuses for Scalable Exploration JT Ash, C Zhang, S Goel, A Krishnamurthy, S Kakade arXiv preprint arXiv:2110.11202, 2021	1	2021
Inductive Biases and Variable Creation in Self-Attention Mechanisms BL Edelman, S Goel, S Kakade, C Zhang arXiv preprint arXiv:2110.10090, 2021		2021

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors