| Sanity-checking pruning methods: Random tickets can win the jackpot J Su, Y Chen, T Cai, T Wu, R Gao, L Wang, JD Lee Advances in neural information processing systems 33, 20390-20401, 2020 | 71 | 2020 |
| On reinforcement learning with adversarial corruption and its application to block mdp T Wu, Y Yang, S Du, L Wang International Conference on Machine Learning, 11296-11306, 2021 | 13 | 2021 |
| Starling-7b: Improving llm helpfulness & harmlessness with rlaif B Zhu, E Frick, T Wu, H Zhu, J Jiao November, 2023 | 11 | 2023 |
| Nearly optimal policy optimization with stable at any time guarantee T Wu, Y Yang, H Zhong, L Wang, S Du, J Jiao International Conference on Machine Learning, 24243-24265, 2022 | 10 | 2022 |
| Pairwise proximal policy optimization: Harnessing relative feedback for llm alignment T Wu, B Zhu, R Zhang, Z Wen, K Ramchandran, J Jiao arXiv preprint arXiv:2310.00212, 2023 | 8 | 2023 |
| A reduction-based framework for conservative bandits and reinforcement learning Y Yang, T Wu, H Zhong, E Garcelon, M Pirotta, A Lazaric, L Wang, SS Du arXiv preprint arXiv:2106.11692, 2021 | 4 | 2021 |
| A reduction-based framework for sequential decision making with delayed feedback Y Yang, H Zhong, T Wu, B Liu, L Wang, SS Du Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Statistical inference on multi-armed bandits with delayed feedback L Shi, J Wang, T Wu International Conference on Machine Learning, 31328-31352, 2023 | 3 | 2023 |
| A unified framework for conservative exploration Y Yang, T Wu, H Zhong, E Garcelon, M Pirotta, A Lazaric, L Wang, SS Du arXiv preprint arXiv:2106.11692, 2021 | 2 | 2021 |
