* denotes equal contribution
2025
Efficient Controllable Diffusion via Optimal Classifier Guidance 
Owen Oertell*, Shikun Sun*, Yiding Chen*, Jin Peng Zhou, Zhiyong Wang, and Wen Sun
 Preprint
 Improved Bounds for Delay Dependent Bandits 
Owen Oertell, Ahan Mishra, Parker Rho, and Robert Kleinberg.
 Preprint
 Scaling Offline RL via Efficient and Expressive Shortcut Models 
Nicolas Espinosa-Dice, Yiyi Zhang, Yiding Chen, Bradley Guo, Owen Oertell, Gokul Swamy, Kiante Brantley, and Wen Sun.
 NeurIPS 2025
 Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions 
Yiding Chen, Yiyi Zhang, Owen Oertell, Wen Sun.
 ICML 2025
 2024
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models 
Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang.
 NeurIPS 2024
 REBEL: Reinforcement Learning via Regressing Relative Rewards 
Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun.
 NeurIPS 2024
 RL for Consistency Models: Reward Guided Text-to-Image Generation with Fast Inference 
Owen Oertell, Jonathan Daniel Chang, Yiyi Zhang, Kianté Brantley, and Wen Sun.
 RLC 2024
 More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning 
Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, and Wen Sun.
 ICML 2024
 Dataset Reset Policy Optimization for RLHF 
Jonathan Daniel Chang*, Wenhao Zhan*, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, and Wen Sun
 Preprint
 2023
A Kernel Method Approach to Orbital Debris Blast Point Determination 
Jackson Kulik, Owen Oertell, and Dmitry Savransky.
 AIAA 2024.
 Overdetermined Eigenvector Approach to Passive Angles-Only Relative Orbit Determination 
Jackson Kulik, Owen Oertell, and Dmitry Savransky.
 Journal of Guidance, Control, and Dynamics 2023.