| Poem: Out-of-distribution detection with posterior sampling Y Ming*, Y Fan*, Y Li International Conference on Machine Learning, 15650-15665, 2022 | 78 | 2022 |
| 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 | 67* | 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 | 33 | 2022 |
| Optimizing ddpm sampling with shortcut fine-tuning Y Fan, K Lee International Conference on Machine Learning, 2023 | 26 | 2023 |
| Model-based reinforcement learning for continuous control with posterior sampling Y Fan, Y Ming International Conference on Machine Learning, 3078-3087, 2021 | 22 | 2021 |
| Domain Generalization with Nuclear Norm Regularization Z Shi*, Y Ming*, Y Fan*, F Sala, Y Liang Conference on Parsimony and Learning, 2024 | 11 | 2024 |
| Efficient model-free reinforcement learning using gaussian process Y Fan, L Chen, Y Wang arXiv preprint arXiv:1812.04359, 2018 | 8 | 2018 |
| 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 | 1 | 2023 |
| Simple Data Sharing for Multi-Tasked Goal-Oriented Problems Y Fan, J Li, A Swaminathan, A Modi, CA Cheng NeurIPS 2023 Workshop on Goal-Conditioned Reinforcement Learning, 2023 | | 2023 |
