Cyril Zhang

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

Cyril Zhang

Microsoft AI

Verified email at microsoft.com - Homepage

learning algorithms


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Phi-3 technical report: A highly capable language model locally on your phone M Abdin, SA Jacobs, AA Awan, J Aneja, A Awadallah, H Awadalla, ... arXiv preprint arXiv:2404.14219, 2024	290	2024
Transformers learn shortcuts to automata B Liu, JT Ash, S Goel, A Krishnamurthy, C Zhang International Conference on Learning Representations, 2023	139	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	112	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	112	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	109	2022
Learning Linear Dynamical Systems via Spectral Filtering E Hazan, K Singh, C Zhang Advances in Neural Information Processing Systems, 6705-6715, 2017	107	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	106	2018
Efficient Regret Minimization in Non-Convex Games E Hazan, K Singh, C Zhang International Conference on Machine Learning 70, 1433-1441, 2017	102	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	84*	2019
Disentangling adaptive gradient methods from learning rates N Agarwal, R Anil, E Hazan, T Koren, C Zhang arXiv preprint arXiv:2002.11803, 2020	43	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	39	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
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	35	2023
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	26	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
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	16*	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	15	2020
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	15	2020

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