| Provably efficient maximum entropy exploration E Hazan, S Kakade, K Singh, A Van Soest International Conference on Machine Learning, 2681-2691, 2019 | 186 | 2019 |
| Online control with adversarial disturbances N Agarwal, B Bullins, E Hazan, S Kakade, K Singh International Conference on Machine Learning, 111-119, 2019 | 176 | 2019 |
| Improper learning for non-stochastic control M Simchowitz, K Singh, E Hazan Conference on Learning Theory, 3320-3436, 2020 | 103 | 2020 |
| Logarithmic regret for online control N Agarwal, E Hazan, K Singh Advances in Neural Information Processing Systems 32, 2019 | 91 | 2019 |
| Learning linear dynamical systems via spectral filtering E Hazan, K Singh, C Zhang Advances in Neural Information Processing Systems 30, 2017 | 90 | 2017 |
| The Nonstochastic Control Problem E Hazan, SM Kakade, K Singh arXiv preprint arXiv:1911.12178, 2019 | 88 | 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 | 79 | 2018 |
| The Price of Differential Privacy For Online Learning N Agarwal, K Singh International Conference on Machine Learning, PMLR 70:32-40, 2017., 2017 | 78 | 2017 |
| Efficient regret minimization in non-convex games E Hazan, K Singh, C Zhang International Conference on Machine Learning, 1433-1441, 2017 | 72 | 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 | 59 | 2019 |
| Towards provable control for unknown linear dynamical systems S Arora, E Hazan, H Lee, K Singh, C Zhang, Y Zhang | 24 | 2018 |
| No-regret prediction in marginally stable systems U Ghai, H Lee, K Singh, C Zhang, Y Zhang Conference on Learning Theory, 1714-1757, 2020 | 17 | 2020 |
| Pixie: A social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa Prize Proceedings, 2017 | 15 | 2017 |
| A regret minimization approach to iterative learning control N Agarwal, E Hazan, A Majumdar, K Singh International Conference on Machine Learning, 100-109, 2021 | 14 | 2021 |
| Boosting for online convex optimization E Hazan, K Singh International Conference on Machine Learning, 4140-4149, 2021 | 6 | 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 | 6 | 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 | 6 | 2021 |
| A boosting approach to reinforcement learning N Brukhim, E Hazan, K Singh Advances in Neural Information Processing Systems 35, 33806-33817, 2022 | 3 | 2022 |
| Introduction to Online Nonstochastic Control E Hazan, K Singh arXiv preprint arXiv:2211.09619, 2022 | 3 | 2022 |
| Variance-reduced conservative policy iteration N Agarwal, B Bullins, K Singh International Conference on Algorithmic Learning Theory, 3-33, 2023 | 1 | 2023 |
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
