Karan Singh
Karan Singh
Postdoc, Microsoft Research
Verified email at microsoft.com - Homepage
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
942019
Online control with adversarial disturbances
N Agarwal, B Bullins, E Hazan, S Kakade, K Singh
International Conference on Machine Learning, 111-119, 2019
862019
Learning linear dynamical systems via spectral filtering
E Hazan, K Singh, C Zhang
Advances in Neural Information Processing Systems 30, 6702-6712, 2017
642017
Spectral filtering for general linear dynamical systems
E Hazan, H Lee, K Singh, C Zhang, Y Zhang
arXiv preprint arXiv:1802.03981, 2018
552018
Logarithmic regret for online control
N Agarwal, E Hazan, K Singh
arXiv preprint arXiv:1909.05062, 2019
532019
Efficient regret minimization in non-convex games
E Hazan, K Singh, C Zhang
International Conference on Machine Learning, 1433-1441, 2017
512017
The Price of Differential Privacy For Online Learning
N Agarwal, K Singh
International Conference on Machine Learning, PMLR 70:32-40, 2017., 2017
502017
Improper learning for non-stochastic control
M Simchowitz, K Singh, E Hazan
Conference on Learning Theory, 3320-3436, 2020
422020
The Nonstochastic Control Problem
E Hazan, SM Kakade, K Singh
arXiv preprint arXiv:1911.12178, 2019
422019
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
382019
Towards provable control for unknown linear dynamical systems
S Arora, E Hazan, H Lee, K Singh, C Zhang, Y Zhang
172018
Dynamic learning system
E Hazan, K Singh, C Zhang
US Patent App. 15/914,967, 2018
112018
Pixie: A social chatbot
O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ...
Alexa Prize Proceedings, 2017
112017
No-regret prediction in marginally stable systems
U Ghai, H Lee, K Singh, C Zhang, Y Zhang
Conference on Learning Theory, 1714-1757, 2020
62020
A Regret Minimization Approach to Iterative Learning Control
N Agarwal, E Hazan, A Majumdar, K Singh
arXiv preprint arXiv:2102.13478, 2021
22021
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
12021
Boosting for Online Convex Optimization
E Hazan, K Singh
arXiv preprint arXiv:2102.09305, 2021
12021
A Boosting Approach to Reinforcement Learning
N Brukhim, E Hazan, K Singh
arXiv preprint arXiv:2108.09767, 2021
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
2021
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Articles 1–19