| Online Learning of Quantum States S Aaronson, X Chen, E Hazan, S Kale, A Nayak Thirty-second Conference on Neural Information Processing Systems 31, 8962--8972, 2018 | 103 | 2018 |
| Black-box control for linear dynamical systems X Chen, E Hazan Conference on Learning Theory, 1114-1143, 2021 | 98 | 2021 |
| 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 | 88* | 2019 |
| Calibration, entropy rates, and memory in language models M Braverman, X Chen, S Kakade, K Narasimhan, C Zhang, Y Zhang International Conference on Machine Learning, 1089-1099, 2020 | 41 | 2020 |
| Regret guarantees for online deep control X Chen, E Minasyan, JD Lee, E Hazan Learning for Dynamics and Control Conference, 1032-1045, 2023 | 14* | 2023 |
| 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 | 14 | 2021 |
| Extreme tensoring for low-memory preconditioning X Chen, N Agarwal, E Hazan, C Zhang, Y Zhang Eighth International Conference on Learning Representations, 2020, 2020 | 12 | 2020 |
| Online Agnostic Boosting via Regret Minimization N Brukhim, X Chen, E Hazan, S Moran Thirty-fourth Conference on Neural Information Processing Systems 33, 644--654, 2020 | 12 | 2020 |
| Adaptive online learning of quantum states X Chen, E Hazan, T Li, Z Lu, X Wang, R Yang Quantum 8, 1471, 2024 | 11 | 2024 |
| Sketchy: Memory-efficient adaptive regularization with frequent directions V Feinberg, X Chen, YJ Sun, R Anil, E Hazan Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
| A nonstochastic control approach to optimization X Chen, E Hazan arXiv preprint arXiv:2301.07902, 2023 | 9* | 2023 |
| Spectral state space models N Agarwal, D Suo, X Chen, E Hazan arXiv preprint arXiv:2312.06837, 2023 | 7 | 2023 |
| Robust online control with model misspecification U Ghai, X Chen, E Hazan, A Megretski Learning for Dynamics and Control Conference, 1163-1175, 2022 | 6* | 2022 |
| Open problem: Black-box reductions and adaptive gradient methods for nonconvex optimization X Chen, E Hazan The Thirty Seventh Annual Conference on Learning Theory, 5317-5324, 2024 | 2 | 2024 |
| Playing large games with oracles and ai debate X Chen, A Chen, D Foster, E Hazan Agentic Markets Workshop at ICML 2024, 2023 | 2 | 2023 |
| Provable Length Generalization in Sequence Prediction via Spectral Filtering A Marsden, E Dogariu, N Agarwal, X Chen, D Suo, E Hazan arXiv preprint arXiv:2411.01035, 2024 | | 2024 |
| FutureFill: Fast Generation from Convolutional Sequence Models N Agarwal, X Chen, E Dogariu, V Feinberg, D Suo, P Bartlett, E Hazan arXiv preprint arXiv:2410.03766, 2024 | | 2024 |
| Catastrophic Token Leakage in Convolutional Sequence Modeling and How to Mitigate It N Agarwal, E Dogariu, X Chen, D Suo, V Feinberg, E Hazan | | 2024 |
| Adaptive Regret for Bandits Made Possible: Two Queries Suffice Z Lu, Q Zhang, X Chen, F Zhang, D Woodruff, E Hazan arXiv preprint arXiv:2401.09278, 2024 | | 2024 |
| AI safety by debate via regret minimization X Chen, A Chen, D Foster, E Hazan arXiv preprint arXiv:2312.04792, 2023 | | 2023 |
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
