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
Udaya GhaiAmazon, NYCVerified email at amazon.com
Xinyi ChenPrinceton University, Google DeepMindVerified email at princeton.edu
Daniel SuoPrinceton UniversityVerified email at fas.harvard.edu
Max SimchowitzMITVerified email at andrew.cmu.edu
Anirudha MajumdarAssociate Professor, Princeton University & Visiting Research Scientist, Google DeepMindVerified email at princeton.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at princeton.edu
Satyen KaleResearch Scientist, AppleVerified email at satyenkale.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	344	2019
Online control with adversarial disturbances N Agarwal, B Bullins, E Hazan, S Kakade, K Singh International Conference on Machine Learning, 111-119, 2019	270	2019
Improper learning for non-stochastic control M Simchowitz, K Singh, E Hazan Conference on Learning Theory, 3320-3436, 2020	165	2020
The Nonstochastic Control Problem E Hazan, SM Kakade, K Singh arXiv preprint arXiv:1911.12178, 2019	133	2019
Logarithmic regret for online control N Agarwal, E Hazan, K Singh Advances in Neural Information Processing Systems 32, 2019	125	2019
Learning linear dynamical systems via spectral filtering E Hazan, K Singh, C Zhang Advances in Neural Information Processing Systems 30, 2017	116	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	111	2018
Efficient regret minimization in non-convex games E Hazan, K Singh, C Zhang International Conference on Machine Learning, 1433-1441, 2017	109	2017
The Price of Differential Privacy For Online Learning N Agarwal, K Singh International Conference on Machine Learning, PMLR 70:32-40, 2017., 2017	108	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	89*	2019
Introduction to online nonstochastic control E Hazan, K Singh arXiv preprint arXiv:2211.09619, 2022	41	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	22	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	21	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, ... arXiv preprint arXiv:2102.09968, 2021	16	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	16	2021
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	14	2023
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	14	2023
Pixie: A social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa Prize Proceedings, 2017	14	2017
A boosting approach to reinforcement learning N Brukhim, E Hazan, K Singh Advances in Neural Information Processing Systems 35, 33806-33817, 2022	12	2022

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