Jonathan D. Chang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 11

Top Topics

Partial Observability

Image Generation

Top Venues

Publications

Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun
Dataset Reset Policy Optimization for RLHF. CoRR (2024)
Owen Oertell, Jonathan D. Chang, Yiyi Zhang, Kianté Brantley, Wen Sun
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation. CoRR (2024)
Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun
Adversarial Imitation Learning via Boosting. CoRR (2024)
Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun
Adversarial Imitation Learning via Boosting. ICLR (2024)
Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun
REBEL: Reinforcement Learning via Regressing Relative Rewards. CoRR (2024)
Ge Gao, Jonathan D. Chang, Claire Cardie, Kianté Brantley, Thorsten Joachims
Policy-Gradient Training of Language Models for Ranking. CoRR (2023)
Jonathan D. Chang, Kianté Brantley, Rajkumar Ramamurthy, Dipendra Misra, Wen Sun
Learning to Generate Better Than Your LLM. CoRR (2023)
Jonathan D. Chang, Kaiwen Wang, Nathan Kallus, Wen Sun
Learning Bellman Complete Representations for Offline Policy Evaluation. CoRR (2022)
Rahul Kidambi, Jonathan D. Chang, Wen Sun
Optimism is All You Need: Model-Based Imitation Learning From Observation Alone. CoRR (2021)
Jonathan D. Chang, Masatoshi Uehara, Dhruv Sreenivas, Rahul Kidambi, Wen Sun
Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage. CoRR (2021)
Jonathan D. Chang, Masatoshi Uehara, Dhruv Sreenivas, Rahul Kidambi, Wen Sun
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage. NeurIPS (2021)
Viet-An Nguyen, Jordan L. Boyd-Graber, Philip Resnik, Jonathan D. Chang
Learning a Concept Hierarchy from Multi-labeled Documents. NIPS (2014)
Antoine Bordes, Léon Bottou, Patrick Gallinari, Jonathan D. Chang, S. Alex Smith
Erratum: SGDQN is Less Careful than Expected. J. Mach. Learn. Res. 11 (2010)
Jonathan D. Chang, Jordan L. Boyd-Graber, David M. Blei
Connections between the lines: augmenting social networks with text. KDD (2009)
Jonathan D. Chang, Jordan L. Boyd-Graber, Sean Gerrish, Chong Wang, David M. Blei
Reading Tea Leaves: How Humans Interpret Topic Models. NIPS (2009)
Jonathan D. Chang, David M. Blei
Relational Topic Models for Document Networks. AISTATS (2009)
Jonathan D. Chang, Miroslav Dudík, David M. Blei
PU-BCD: Exponential Family Models for the Coarse- and Fine-Grained All-Words Tasks. SemEval@ACL (2007)