Karan Singh

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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
Cyril ZhangMicrosoft Research NYCVerified email at microsoft.com
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Brian BullinsAssistant Professor, Purdue UniversityVerified email at purdue.edu
Yi ZhangSenior Researcher at Microsoft Research RedmondVerified email at microsoft.com
Holden LeeAssistant Professor of Applied Mathematics and Statistics, Johns Hopkins UniversityVerified email at jhu.edu
Xinyi ChenPrinceton University, Google AIVerified email at princeton.edu
Udaya GhaiGraduate Student, Princeton UniversityVerified email at cs.princeton.edu
Daniel SuoPrinceton UniversityVerified email at fas.harvard.edu
MAX SIMCHOWITZMITVerified email at mit.edu
Anirudha MajumdarPrinceton UniversityVerified email at princeton.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Edgar MinasyanPrinceton UniversityVerified email at princeton.edu
Nataly BrukhimPrinceton UniversityVerified email at princeton.edu
Gautam GoelUC BerkeleyVerified email at berkeley.edu
Satyen KaleResearch Scientist, Google ResearchVerified email at google.com
Abhradeep Guha ThakurtaGoogle Research - Brain TeamVerified email at google.com

Karan Singh

Carnegie Mellon University

Verified email at cmu.edu - Homepage

Machine Learning Optimization Control Reinforcement Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Provably efficient maximum entropy exploration E Hazan, S Kakade, K Singh, A Van Soest International Conference on Machine Learning, 2681-2691, 2019	229	2019
Online control with adversarial disturbances N Agarwal, B Bullins, E Hazan, S Kakade, K Singh International Conference on Machine Learning, 111-119, 2019	196	2019
Improper learning for non-stochastic control M Simchowitz, K Singh, E Hazan Conference on Learning Theory, 3320-3436, 2020	121	2020
The Nonstochastic Control Problem E Hazan, SM Kakade, K Singh arXiv preprint arXiv:1911.12178, 2019	101	2019
Logarithmic regret for online control N Agarwal, E Hazan, K Singh Advances in Neural Information Processing Systems 32, 2019	92	2019
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	89	2018
Learning linear dynamical systems via spectral filtering E Hazan, K Singh, C Zhang Advances in Neural Information Processing Systems 30, 2017	89	2017
The Price of Differential Privacy For Online Learning N Agarwal, K Singh International Conference on Machine Learning, PMLR 70:32-40, 2017., 2017	84	2017
Efficient regret minimization in non-convex games E Hazan, K Singh, C Zhang International Conference on Machine Learning, 1433-1441, 2017	78	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	69	2019
Towards provable control for unknown linear dynamical systems S Arora, E Hazan, H Lee, K Singh, C Zhang, Y Zhang	27	2018
A regret minimization approach to iterative learning control N Agarwal, E Hazan, A Majumdar, K Singh International Conference on Machine Learning, 100-109, 2021	18	2021
No-regret prediction in marginally stable systems U Ghai, H Lee, K Singh, C Zhang, Y Zhang Conference on Learning Theory, 1714-1757, 2020	18	2020
Pixie: A social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa Prize Proceedings, 2017	14	2017
Introduction to online nonstochastic control E Hazan, K Singh arXiv preprint arXiv:2211.09619, 2022	10	2022
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, ... arXiv preprint arXiv:2102.09968, 2021	9	2021
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	8	2021
Boosting for online convex optimization E Hazan, K Singh International Conference on Machine Learning, 4140-4149, 2021	7	2021
A boosting approach to reinforcement learning N Brukhim, E Hazan, K Singh Advances in Neural Information Processing Systems 35, 33806-33817, 2022	4	2022
Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret G Goel, N Agarwal, K Singh, E Hazan Learning for Dynamics and Control Conference, 1345-1356, 2023	2	2023

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