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Hong Jun Jeon
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2020 – today
- 2024
- [c5]Hong Jun Jeon, Jason D. Lee, Qi Lei, Benjamin Van Roy:
An Information-Theoretic Analysis of In-Context Learning. ICML 2024 - [i13]Anmol Kagrecha, Henrik Marklund, Benjamin Van Roy, Hong Jun Jeon, Richard Zeckhauser:
Adaptive Crowdsourcing Via Self-Supervised Learning. CoRR abs/2401.13239 (2024) - [i12]Hong Jun Jeon, Jason D. Lee, Qi Lei, Benjamin Van Roy:
An Information-Theoretic Analysis of In-Context Learning. CoRR abs/2401.15530 (2024) - [i11]Hong Jun Jeon, Benjamin Van Roy:
Information-Theoretic Foundations for Neural Scaling Laws. CoRR abs/2407.01456 (2024) - [i10]Hong Jun Jeon, Benjamin Van Roy:
Information-Theoretic Foundations for Machine Learning. CoRR abs/2407.12288 (2024) - [i9]Saurabh Kumar, Hong Jun Jeon, Alex Lewandowski, Benjamin Van Roy:
The Need for a Big World Simulator: A Scientific Challenge for Continual Learning. CoRR abs/2408.02930 (2024) - 2023
- [i8]Saurabh Kumar, Henrik Marklund, Ashish Rao, Yifan Zhu, Hong Jun Jeon, Yueyang Liu, Benjamin Van Roy:
Continual Learning as Computationally Constrained Reinforcement Learning. CoRR abs/2307.04345 (2023) - 2022
- [j1]Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan
, Ajay Mandlekar, Animesh Garg, Jeannette Bohg
Learning latent actions to control assistive robots. Auton. Robots 46(1): 115-147 (2022) - [c4]Hong Jun Jeon, Benjamin Van Roy:
An Information-Theoretic Framework for Deep Learning. NeurIPS 2022 - [i7]Hong Jun Jeon, Benjamin Van Roy:
Sample Complexity versus Depth: An Information Theoretic Analysis. CoRR abs/2203.00246 (2022) - [i6]Yifan Zhu, Hong Jun Jeon, Benjamin Van Roy:
Is Stochastic Gradient Descent Near Optimal? CoRR abs/2209.08627 (2022) - [i5]Hong Jun Jeon, Benjamin Van Roy:
An Information-Theoretic Analysis of Compute-Optimal Neural Scaling Laws. CoRR abs/2212.01365 (2022) - 2021
- [i4]Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh:
Learning Latent Actions to Control Assistive Robots. CoRR abs/2107.02907 (2021) - 2020
- [c3]Hong Jun Jeon, Smitha Milli, Anca D. Dragan:
Reward-rational (implicit) choice: A unifying formalism for reward learning. NeurIPS 2020 - [c2]Hong Jun Jeon, Dylan P. Losey, Dorsa Sadigh:
Shared Autonomy with Learned Latent Actions. Robotics: Science and Systems 2020 - [i3]Hong Jun Jeon, Smitha Milli, Anca D. Dragan:
Reward-rational (implicit) choice: A unifying formalism for reward learning. CoRR abs/2002.04833 (2020) - [i2]Hong Jun Jeon, Dylan P. Losey, Dorsa Sadigh:
Shared Autonomy with Learned Latent Actions. CoRR abs/2005.03210 (2020)
2010 – 2019
- 2018
- [c1]Hong Jun Jeon, Anca D. Dragan:
Configuration Space Metrics. IROS 2018: 5101-5108 - [i1]Hong Jun Jeon, Anca D. Dragan:
Configuration Space Metrics. CoRR abs/1808.03891 (2018)
Coauthor Index
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