Cyril Zhang

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	Total	Desde 2019
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Elad HazanProfessor at Princeton University and Director Google AI PrincetonDirección de correo verificada de princeton.edu
Surbhi GoelAssistant Professor, University of PennsylvaniaDirección de correo verificada de cis.upenn.edu
Sham M KakadeHarvard UniversityDirección de correo verificada de seas.harvard.edu
Naman AgarwalSenior Research Scientist, Google AI PrincetonDirección de correo verificada de google.com
Akshay KrishnamurthyUniversity of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
Yi ZhangSenior Researcher at Microsoft Research RedmondDirección de correo verificada de microsoft.com
Jordan T. AshMicrosoft Research NYCDirección de correo verificada de princeton.edu
Xinyi ChenPrinceton University, Google DeepMindDirección de correo verificada de princeton.edu
Holden LeeAssistant Professor of Applied Mathematics and Statistics, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
Benjamin L. EdelmanHarvard UniversityDirección de correo verificada de g.harvard.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityDirección de correo verificada de cs.princeton.edu
Eran MalachKempner Institute, HarvardDirección de correo verificada de fas.harvard.edu
Brian BullinsAssistant Professor, Purdue UniversityDirección de correo verificada de purdue.edu
Udaya GhaiAmazon, NYCDirección de correo verificada de amazon.com
Daniel SuoPrinceton UniversityDirección de correo verificada de fas.harvard.edu
Bingbin LiuPhD Student in Machine Learning Department, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Tomer KorenAssociate Professor at Tel Aviv UniversityDirección de correo verificada de tauex.tau.ac.il
Rohan AnilDistinguished Engineer, Google BrainDirección de correo verificada de google.com
Nikunj SaunshiResearch Scientist, GoogleDirección de correo verificada de google.com
Paula GraduPhD student, UC BerkeleyDirección de correo verificada de berkeley.edu

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Cyril Zhang

Microsoft AI

Dirección de correo verificada de microsoft.com - Página principal

learning algorithms


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	208	2024
Transformers learn shortcuts to automata B Liu, JT Ash, S Goel, A Krishnamurthy, C Zhang International Conference on Learning Representations, 2023	131	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	109	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	107	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	106	2022
Learning Linear Dynamical Systems via Spectral Filtering E Hazan, K Singh, C Zhang Advances in Neural Information Processing Systems, 6705-6715, 2017	103	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	102	2018
Efficient Regret Minimization in Non-Convex Games E Hazan, K Singh, C Zhang International Conference on Machine Learning 70, 1433-1441, 2017	101	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	83*	2019
Disentangling adaptive gradient methods from learning rates N Agarwal, R Anil, E Hazan, T Koren, C Zhang arXiv preprint arXiv:2002.11803, 2020	41	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	34	2023
Not-So-Random Features B Bullins, C Zhang, Y Zhang International Conference on Learning Representations, 2018	28	2018
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
Acceleration via fractal learning rate schedules N Agarwal, S Goel, C Zhang International Conference on Machine Learning, 87-99, 2021	24	2021
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
Sparsity in partially controllable linear systems Y Efroni, S Kakade, A Krishnamurthy, C Zhang International Conference on Machine Learning, 5851-5860, 2022	14	2022

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