Chen, Yiding

13 publications

NeurIPS 2025 A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing Alex Clinton, Thomas Zeng, Yiding Chen, Jerry Zhu, Kirthevasan Kandasamy

NeurIPS 2025 Avoiding exp(R) Scaling in RLHF Through Preference-Based Exploration Mingyu Chen, Yiding Chen, Wen Sun, Xuezhou Zhang

ICML 2025 Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution Alex Clinton, Yiding Chen, Jerry Zhu, Kirthevasan Kandasamy

ICML 2025 Convergence of Consistency Model with Multistep Sampling Under General Data Assumptions Yiding Chen, Yiyi Zhang, Owen Oertell, Wen Sun

ICLR 2025 Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun

NeurIPS 2025 Scaling Offline RL via Efficient and Expressive Shortcut Models Nicolas Espinosa-Dice, Yiyi Zhang, Yiding Chen, Bradley Guo, Owen Oertell, Gokul Swamy, Kianté Brantley, Wen Sun

AAAI 2024 Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption Yiding Chen, Xuezhou Zhang, Qiaomin Xie, Xiaojin Zhu

ICML 2024 Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value Young Wu, Jeremy Mcmahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie

AISTATS 2023 Byzantine-Robust Online and Offline Distributed Reinforcement Learning Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu

NeurIPS 2023 Mechanism Design for Collaborative Normal Mean Estimation Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy

AISTATS 2022 Corruption-Robust Offline Reinforcement Learning Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun

ICML 2021 Robust Policy Gradient Against Strong Data Corruption Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun

AAAI 2020 Optimal Attack Against Autoregressive Models by Manipulating the Environment Yiding Chen, Xiaojin Zhu