Hong Jun Jeon: PublicationsPublications are listed below by year of posting if they have not been published, or year of publication. 2024Hong Jun Jeon and Benjamin Van Roy, Aligning AI Agents via Information-Directed Sampling. Saurabh Kumar, Hong Jun Jeon, Alex Lewandowski, and Benjamin Van Roy, The Need for a Big World Simulator: A Scientific Challenge for Continual Learning . Hong Jun Jeon and Benjamin Van Roy, Information-Theoretic Foundations for Machine Learning. Hong Jun Jeon and Benjamin Van Roy, Information-Theoretic Foundations for Neural Scaling Laws. Hong Jun Jeon, Jason D. Lee, Qi Lei, and Benjamin Van Roy, An Information-Theoretic Analysis of In-Context Learning. Anmol Kagrecha, Henrik Marklund, Benjamin Van Roy, Hong Jun Jeon, and Richard Zeckhauser, Adaptive Crowdsourcing Via Self-Supervised Learning. 2023Saurabh Kumar, Henrik Marklund, Ashish Rao, Yifan Zhu, Hong Jun Jeon, Yueyang Liu, and Benjamin Van Roy, Continual Learning as Computationally Constrained Reinforcement Learning, [Foundations and Trends Submission]. Hong Jun Jeon, Yifan Zhu, and Benjamin Van Roy, An Information-Theoretic Framework for Supervised Learning. 2022Hong Jun Jeon and Benjamin Van Roy, An Information-Theoretic Analysis of Compute-Optimal Neural Scaling Laws Yifan Zhu, Hong Jun Jeon, and Benjamin Van Roy, Is Stochastic Gradient Descent Near Optimal? Hong Jun Jeon and Benjamin Van Roy, An Information-Theoretic Framework for Deep Learning, [Neurips, 2022]. Dylan P Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, and Dorsa Sadigh, Learning latent actions to control assistive robots 2020Hong Jun Jeon, Dylan P Losey, Dorsa Sadigh, Shared autonomy with learned latent actions, [RSS 2020], (Best Student Paper Finalist). Hong Jun Jeon, Smitha Milli, Anca Dragan, Reward-rational (implicit) choice: A unifying formalism for reward learning, [Neurips, 2020]. 2018Hong Jun Jeon, Anca Dragan, Configuration Space Metrics, [IROS 2018], (Best Student Paper Finalist). |