| DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models Y Fan, O Watkins, Y Du, H Liu, M Ryu, C Boutilier, P Abbeel, ... Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 193* | 2023 |
| POEM: Out-of-Distribution Detection with Posterior Sampling Y Ming*, Y Fan*, Y Li International Conference on Machine Learning, 15650-15665, 2022 | 119 | 2022 |
| Optimizing DDPM Sampling with Shortcut Fine-Tuning Y Fan, K Lee International Conference on Machine Learning, 2023 | 59 | 2023 |
| Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance D Kwon, Y Fan, K Lee Advances in Neural Information Processing Systems 35, 20205-20217, 2022 | 50 | 2022 |
| Model-based Reinforcement Learning for Continuous Control with Posterior Sampling Y Fan, Y Ming International Conference on Machine Learning, 3078-3087, 2021 | 31 | 2021 |
| Domain Generalization with Nuclear Norm Regularization Z Shi*, Y Ming*, Y Fan*, F Sala, Y Liang Conference on Parsimony and Learning, 2024 | 22 | 2024 |
| Efficient Model-Free Reinforcement Learning Using Gaussian Process Y Fan, L Chen, Y Wang arXiv preprint arXiv:1812.04359, 2018 | 9 | 2018 |
| Looped Transformers for Length Generalization Y Fan, Y Du, K Ramchandran, K Lee arXiv preprint arXiv:2409.15647, 2024 | 4 | 2024 |
| Algorithms for Optimal Adaptation of Diffusion Models to Reward Functions KD Dvijotham, S Omidshafiei, K Lee, KM Collins, D Ramachandran, ... ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023 | 2 | 2023 |
| Transformers Can Learn Meta-skills for Task Generalization in In-Context Learning Y Fan, S Yadlowsky, D Papailiopoulos, K Lee NeurIPS 2024 Workshop on Compositional Learning: Perspectives, Methods, and …, 2024 | | 2024 |
| How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Y Fan, J Li, A Swaminathan, A Modi, CA Cheng Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |