Παρακολούθηση
Karan Singh
Karan Singh
Carnegie Mellon University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cmu.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Provably efficient maximum entropy exploration
E Hazan, S Kakade, K Singh, A Van Soest
International Conference on Machine Learning, 2681-2691, 2019
3472019
Online control with adversarial disturbances
N Agarwal, B Bullins, E Hazan, S Kakade, K Singh
International Conference on Machine Learning, 111-119, 2019
2722019
Improper learning for non-stochastic control
M Simchowitz, K Singh, E Hazan
Conference on Learning Theory, 3320-3436, 2020
1672020
The Nonstochastic Control Problem
E Hazan, SM Kakade, K Singh
arXiv preprint arXiv:1911.12178, 2019
1352019
Logarithmic regret for online control
N Agarwal, E Hazan, K Singh
Advances in Neural Information Processing Systems 32, 2019
1272019
Learning linear dynamical systems via spectral filtering
E Hazan, K Singh, C Zhang
Advances in Neural Information Processing Systems 30, 2017
1182017
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
1132018
Efficient regret minimization in non-convex games
E Hazan, K Singh, C Zhang
International Conference on Machine Learning, 1433-1441, 2017
1112017
The Price of Differential Privacy For Online Learning
N Agarwal, K Singh
International Conference on Machine Learning, PMLR 70:32-40, 2017., 2017
1082017
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
91*2019
Introduction to online nonstochastic control
E Hazan, K Singh
arXiv preprint arXiv:2211.09619, 2022
432022
Towards provable control for unknown linear dynamical systems
S Arora, E Hazan, H Lee, K Singh, C Zhang, Y Zhang
262018
A regret minimization approach to iterative learning control
N Agarwal, E Hazan, A Majumdar, K Singh
International Conference on Machine Learning, 100-109, 2021
232021
No-regret prediction in marginally stable systems
U Ghai, H Lee, K Singh, C Zhang, Y Zhang
Conference on Learning Theory, 1714-1757, 2020
222020
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
172021
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
162021
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
142023
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
142023
Pixie: A social chatbot
O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ...
Alexa Prize Proceedings, 2017
142017
A boosting approach to reinforcement learning
N Brukhim, E Hazan, K Singh
Advances in Neural Information Processing Systems 35, 33806-33817, 2022
122022
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