Karan Singh

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Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at cs.princeton.edu
Cyril ZhangMicrosoft ResearchVerified email at microsoft.com
Naman AgarwalSenior Research Scientist, Google AI PrincetonVerified email at google.com
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Yi ZhangPostdoctoral Researcher at Microsoft Research RedmondVerified email at microsoft.com
Brian BullinsResearch Assistant Professor, TTI-ChicagoVerified email at ttic.edu
Holden LeePostdoc in mathematics, Duke UniversityVerified email at duke.edu
Xinyi ChenPrinceton University, Google AIVerified email at princeton.edu
Daniel SuoPrinceton UniversityVerified email at fas.harvard.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
MAX SIMCHOWITZMITVerified email at mit.edu
Udaya GhaiGraduate Student, Princeton UniversityVerified email at cs.princeton.edu
Anirudha MajumdarPrinceton UniversityVerified email at princeton.edu
Edgar MinasyanPrinceton UniversityVerified email at princeton.edu
Daniel CohenAssistant Professor, Mechanical and Aerospace Engineering, Princeton UniversityVerified email at princeton.edu
Tom ZajdelCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Manuel SchottdorfPrinceton UniversityVerified email at princeton.edu
Nataly BrukhimPrinceton UniversityVerified email at princeton.edu

Karan Singh

Postdoc, Microsoft Research

Verified email at microsoft.com - Homepage

Machine Learning Optimization Control Reinforcement Learning Statistics


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Provably efficient maximum entropy exploration E Hazan, S Kakade, K Singh, A Van Soest International Conference on Machine Learning, 2681-2691, 2019	127	2019
Online control with adversarial disturbances N Agarwal, B Bullins, E Hazan, S Kakade, K Singh International Conference on Machine Learning, 111-119, 2019	118	2019
Improper learning for non-stochastic control M Simchowitz, K Singh, E Hazan Conference on Learning Theory, 3320-3436, 2020	71	2020
Learning linear dynamical systems via spectral filtering E Hazan, K Singh, C Zhang Advances in Neural Information Processing Systems 30, 2017	67	2017
Logarithmic regret for online control N Agarwal, E Hazan, K Singh Advances in Neural Information Processing Systems 32, 2019	64	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	64	2018
The Nonstochastic Control Problem E Hazan, SM Kakade, K Singh arXiv preprint arXiv:1911.12178, 2019	62	2019
The Price of Differential Privacy For Online Learning N Agarwal, K Singh International Conference on Machine Learning, PMLR 70:32-40, 2017., 2017	61	2017
Efficient regret minimization in non-convex games E Hazan, K Singh, C Zhang International Conference on Machine Learning, 1433-1441, 2017	60	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	49	2019
Towards provable control for unknown linear dynamical systems S Arora, E Hazan, H Lee, K Singh, C Zhang, Y Zhang	20	2018
Dynamic learning system E Hazan, K Singh, C Zhang US Patent 11,138,513, 2021	17	2021
Pixie: A social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa Prize Proceedings, 2017	12	2017
No-regret prediction in marginally stable systems U Ghai, H Lee, K Singh, C Zhang, Y Zhang Conference on Learning Theory, 1714-1757, 2020	9	2020
A regret minimization approach to iterative learning control N Agarwal, E Hazan, A Majumdar, K Singh International Conference on Machine Learning, 100-109, 2021	7	2021
Machine learning for mechanical ventilation control D Suo, C Zhang, P Gradu, U Ghai, X Chen, E Minasyan, N Agarwal, ... arXiv preprint arXiv:2102.06779, 2021	4	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	3	2021
Boosting for online convex optimization E Hazan, K Singh International Conference on Machine Learning, 4140-4149, 2021	2	2021
A Boosting Approach to Reinforcement Learning N Brukhim, E Hazan, K Singh arXiv preprint arXiv:2108.09767, 2021	1	2021
The Nonstochastic Control Problem K Singh		2022

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