Xinyi Chen

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Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
Cyril ZhangMicrosoft Research NYCVerified email at microsoft.com
Naman AgarwalSenior Research Scientist, Google AI PrincetonVerified email at google.com
Yi ZhangSenior Researcher at Microsoft Research RedmondVerified email at microsoft.com
Brian BullinsAssistant Professor, Purdue UniversityVerified email at purdue.edu
Satyen KaleStaff Research Scientist, Google ResearchVerified email at google.com
Ashwin NayakUniversity of WaterlooVerified email at uwaterloo.ca
Edgar MinasyanPrinceton UniversityVerified email at princeton.edu
Udaya GhaiGraduate Student, Princeton UniversityVerified email at cs.princeton.edu
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Karthik NarasimhanAssistant Professor, Princeton UniversityVerified email at cs.princeton.edu
Shay MoranDepartment of Mathematics, Department of Computer Science, TechnionVerified email at google.com
Nataly BrukhimPrinceton UniversityVerified email at princeton.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu
Karan SinghAssistant Professor, Carnegie Mellon UniversityVerified email at cmu.edu

Xinyi Chen

Princeton University, Google AI

Verified email at princeton.edu - Homepage

machine learning optimization control


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Online Learning of Quantum States S Aaronson, X Chen, E Hazan, S Kale, A Nayak Thirty-second Conference on Neural Information Processing Systems 31, 8962--8972, 2018	64	2018
Black-box control for linear dynamical systems X Chen, E Hazan Conference on Learning Theory, 1114-1143, 2021	59	2021
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
Calibration, entropy rates, and memory in language models M Braverman, X Chen, S Kakade, K Narasimhan, C Zhang, Y Zhang International Conference on Machine Learning, 1089-1099, 2020	20	2020
Online Agnostic Boosting via Regret Minimization N Brukhim, X Chen, E Hazan, S Moran Thirty-fourth Conference on Neural Information Processing Systems 33, 644--654, 2020	9	2020
Extreme tensoring for low-memory preconditioning X Chen, N Agarwal, E Hazan, C Zhang, Y Zhang Eighth International Conference on Learning Representations, 2020, 2020	8	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	6	2021
Adaptive online learning of quantum states X Chen, E Hazan, T Li, Z Lu, X Wang, R Yang arXiv preprint arXiv:2206.00220, 2022	3	2022
Provable regret bounds for deep online learning and control X Chen, E Minasyan, JD Lee, E Hazan arXiv preprint arXiv:2110.07807, 2021	2	2021
Robust online control with model misspecification X Chen, U Ghai, E Hazan, A Megretski ICML 2021 Workshop on Reinforcement Learning Theory, 2021	1	2021
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions V Feinberg, X Chen, YJ Sun, R Anil, E Hazan arXiv preprint arXiv:2302.03764, 2023		2023
A Nonstochastic Control Approach to Optimization X Chen, E Hazan arXiv preprint arXiv:2301.07902, 2023		2023
Regret Guarantees for Online Deep Control X Chen, E Minasyan, JD Lee, E Hazan Proceedings of Machine Learning Research vol XX 1, 34, 2023		2023
Robust Online Control with Model Misspecification U Ghai, X Chen, E Hazan, A Megretski Learning for Dynamics and Control Conference, 1163-1175, 2022		2022
Machine learning for medical ventilator control C Zhang, DC Suo, D Cohen, E Minasyan, E Hazan, J LaChance, K Singh, ...		2021
Online learning of quantum states S Aaronson, X Chen, E Hazan, S Kale, A Nayak Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124019, 2019		2019

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