Hong Jun Jeon

According to our database, Hong Jun Jeon authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Aligning AI Agents via Information-Directed Sampling.

Hong Jun Jeon, Benjamin Van Roy

CoRR, 2024

The Need for a Big World Simulator: A Scientific Challenge for Continual Learning.

Saurabh Kumar, Hong Jun Jeon, Alex Lewandowski, Benjamin Van Roy

CoRR, 2024

Information-Theoretic Foundations for Machine Learning.

Hong Jun Jeon, Benjamin Van Roy

CoRR, 2024

Information-Theoretic Foundations for Neural Scaling Laws.

Hong Jun Jeon, Benjamin Van Roy

CoRR, 2024

Adaptive Crowdsourcing Via Self-Supervised Learning.

Anmol Kagrecha, Henrik Marklund, Benjamin Van Roy, Hong Jun Jeon, Richard Zeckhauser

CoRR, 2024

An Information-Theoretic Analysis of In-Context Learning.

Hong Jun Jeon, Jason D. Lee, Qi Lei, Benjamin Van Roy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Continual Learning as Computationally Constrained Reinforcement Learning.

Saurabh Kumar, Henrik Marklund, Ashish Rao, Yifan Zhu, Hong Jun Jeon, Yueyang Liu, Benjamin Van Roy

CoRR, 2023

2022

An Information-Theoretic Analysis of Compute-Optimal Neural Scaling Laws.

Hong Jun Jeon, Benjamin Van Roy

CoRR, 2022

Is Stochastic Gradient Descent Near Optimal?

Yifan Zhu, Hong Jun Jeon, Benjamin Van Roy

CoRR, 2022

Sample Complexity versus Depth: An Information Theoretic Analysis.

Hong Jun Jeon, Benjamin Van Roy

CoRR, 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

An Information-Theoretic Framework for Deep Learning.

Hong Jun Jeon, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Shared Autonomy with Learned Latent Actions.

Hong Jun Jeon, Dylan P. Losey, Dorsa Sadigh

Proceedings of the Robotics: Science and Systems XVI, 2020

Reward-rational (implicit) choice: A unifying formalism for reward learning.

Hong Jun Jeon, Smitha Milli, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Configuration Space Metrics.

Hong Jun Jeon, Anca D. Dragan

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018