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 DeepMindVerified email at princeton.edu
Udaya GhaiAmazon, NYCVerified email at amazon.com
Daniel SuoPrinceton UniversityVerified email at fas.harvard.edu
MAX SIMCHOWITZMITVerified email at mit.edu
Anirudha MajumdarAssociate Professor, Princeton University & Visiting Research Scientist, Google DeepMindVerified email at princeton.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Satyen KaleResearch Scientist, Google ResearchVerified email at google.com
Abhradeep Guha ThakurtaGoogle Research - Brain TeamVerified email at google.com
Edgar MinasyanPrinceton UniversityVerified email at princeton.edu
Gautam GoelUC BerkeleyVerified email at berkeley.edu
Nataly BrukhimPrinceton UniversityVerified email at princeton.edu

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	297	2019
Online control with adversarial disturbances N Agarwal, B Bullins, E Hazan, S Kakade, K Singh International Conference on Machine Learning, 111-119, 2019	242	2019
Improper learning for non-stochastic control M Simchowitz, K Singh, E Hazan Conference on Learning Theory, 3320-3436, 2020	152	2020
The Nonstochastic Control Problem E Hazan, SM Kakade, K Singh arXiv preprint arXiv:1911.12178, 2019	118	2019
Logarithmic regret for online control N Agarwal, E Hazan, K Singh Advances in Neural Information Processing Systems 32, 2019	112	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	100	2018
The Price of Differential Privacy For Online Learning N Agarwal, K Singh International Conference on Machine Learning, PMLR 70:32-40, 2017., 2017	100	2017
Learning linear dynamical systems via spectral filtering E Hazan, K Singh, C Zhang Advances in Neural Information Processing Systems 30, 2017	99	2017
Efficient regret minimization in non-convex games E Hazan, K Singh, C Zhang International Conference on Machine Learning, 1433-1441, 2017	97	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	82*	2019
Introduction to online nonstochastic control E Hazan, K Singh arXiv preprint arXiv:2211.09619, 2022	27	2022
Towards provable control for unknown linear dynamical systems S Arora, E Hazan, H Lee, K Singh, C Zhang, Y Zhang	26	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	21	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	19	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
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	13	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, ... arXiv preprint arXiv:2102.09968, 2021	11	2021
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	10	2023
Differentially private and lazy online convex optimization N Agarwal, S Kale, K Singh, A Thakurta The Thirty Sixth Annual Conference on Learning Theory, 4599-4632, 2023	9	2023
A boosting approach to reinforcement learning N Brukhim, E Hazan, K Singh Advances in Neural Information Processing Systems 35, 33806-33817, 2022	8	2022

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