| Reward-rational (implicit) choice: A unifying formalism for reward learning HJ Jeon, S Milli, A Dragan Advances in Neural Information Processing Systems 33, 4415-4426, 2020 | 157 | 2020 |
| Shared autonomy with learned latent actions HJ Jeon, DP Losey, D Sadigh arXiv preprint arXiv:2005.03210, 2020 | 64 | 2020 |
| Learning latent actions to control assistive robots DP Losey, HJ Jeon, M Li, K Srinivasan, A Mandlekar, A Garg, J Bohg, ... Autonomous robots 46 (1), 115-147, 2022 | 46 | 2022 |
| Continual learning as computationally constrained reinforcement learning S Kumar, H Marklund, A Rao, Y Zhu, HJ Jeon, Y Liu, B Van Roy arXiv preprint arXiv:2307.04345, 2023 | 7 | 2023 |
| Configuration space metrics HJ Jeon, AD Dragan 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 7 | 2018 |
| An Information-Theoretic Analysis of In-Context Learning HJ Jeon, JD Lee, Q Lei, B Van Roy arXiv preprint arXiv:2401.15530, 2024 | 4 | 2024 |
| An Information-Theoretic Framework for Deep Learning HJ Jeon, B Van Roy Advances in Neural Information Processing Systems 35, 3279-3291, 2022 | 3 | 2022 |
| An information-theoretic framework for supervised learning HJ Jeon, Y Zhu, B Van Roy arXiv preprint arXiv:2203.00246, 2022 | 3 | 2022 |
| Adaptive Crowdsourcing Via Self-Supervised Learning A Kagrecha, H Marklund, B Van Roy, HJ Jeon, R Zeckhauser arXiv preprint arXiv:2401.13239, 2024 | | 2024 |
| An Information-Theoretic Analysis of Compute-Optimal Neural Scaling Laws HJ Jeon, B Van Roy arXiv preprint arXiv:2212.01365, 2022 | | 2022 |
| Is Stochastic Gradient Descent Near Optimal? Y Zhu, HJ Jeon, B Van Roy arXiv preprint arXiv:2209.08627, 2022 | | 2022 |
| Sample Complexity versus Depth: An Information Theoretic Analysis. HJ Jeon, B Van Roy CoRR, 2022 | | 2022 |
Anca D DraganAssistant Professor at UC Berkeley // Director, AI Safety and Alignment, Google DeepMindVerified email at berkeley.edu
