Configuration Space Metrics. - Hong Jun Jeon; Anca D. Dragan (IROS, 2018)

Reward-rational (implicit) choice: A unifying formalism for reward learning. - Hong Jun Jeon; Smitha Milli; Anca D. Dragan (NeurIPS, 2020)

Shared Autonomy with Learned Latent Actions. - Hong Jun Jeon; Dylan P. Losey; Dorsa Sadigh (Robotics: Science and Systems, 2020)

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

Learning latent actions to control assistive robots. - Dylan P. Losey; Hong Jun Jeon; Mengxi Li; Krishnan Srinivasan; Ajay Mandlekar; Animesh Garg; Jeannette Bohg; Dorsa Sadigh (Auton. Robots, 2022)

Sample Complexity versus Depth: An Information Theoretic Analysis. - Hong Jun Jeon; Benjamin Van Roy (CoRR, 2022)

Is Stochastic Gradient Descent Near Optimal? - Yifan Zhu; Hong Jun Jeon; Benjamin Van Roy (CoRR, 2022)

An Information-Theoretic Analysis of Compute-Optimal Neural Scaling Laws. - Hong Jun Jeon; Benjamin Van Roy (CoRR, 2022)

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

Adaptive Crowdsourcing Via Self-Supervised Learning. - Anmol Kagrecha; Henrik Marklund; Benjamin Van Roy; Hong Jun Jeon; Richard Zeckhauser (CoRR, 2024)

Information-Theoretic Foundations for Neural Scaling Laws. - Hong Jun Jeon; Benjamin Van Roy (CoRR, 2024)

Information-Theoretic Foundations for Machine Learning. - Hong Jun Jeon; Benjamin Van Roy (CoRR, 2024)

The Need for a Big World Simulator: A Scientific Challenge for Continual Learning. - Saurabh Kumar 004; Hong Jun Jeon; Alex Lewandowski; Benjamin Van Roy (CoRR, 2024)

Aligning AI Agents via Information-Directed Sampling. - Hong Jun Jeon; Benjamin Van Roy (CoRR, 2024)

Epinet for Content Cold Start. - Hong Jun Jeon; Songbin Liu; Yuantong Li; Jie Lyu 006; Hunter Song; Ji Liu; Peng Wu; Zheqing Zhu (CoRR, 2024)

Continual Learning as Computationally Constrained Reinforcement Learning. - Saurabh Kumar 004; Henrik Marklund; Ashish Rao; Yifan Zhu; Hong Jun Jeon; Yueyang Liu; Benjamin Van Roy (Found. Trends Mach. Learn., 2025)