Jeon, Hong Jun

5 publications

FnTML 2025 Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar, Henrik Marklund, Ashish Rao, Yifan Zhu, Hong Jun Jeon, Yueyang Liu, Benjamin Van Roy

ICML 2024 An Information-Theoretic Analysis of In-Context Learning Hong Jun Jeon, Jason D. Lee, Qi Lei, Benjamin Van Roy

NeurIPSW 2024 Information-Theoretic Foundations for Neural Scaling Laws Hong Jun Jeon, Benjamin Van Roy

NeurIPS 2022 An Information-Theoretic Framework for Deep Learning Hong Jun Jeon, Benjamin Van Roy

NeurIPS 2020 Reward-Rational (implicit) Choice: A Unifying Formalism for Reward Learning Hong Jun Jeon, Smitha Milli, Anca Dragan