Yiding Chen

yc2773 at cornell dot edu

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I am a Postdoctoral Associate in the Computer Science Department at Cornell University, working with Prof. Wen Sun. I received my Ph.D. in Computer Science from the University of Wisconsin–Madison, where I was fortunate to be advised by Prof. Jerry Zhu. My research focuses on generative models, reinforcement learning, mechanism design, and robust statistics.

selected publications

  1. AISTATS
    Byzantine-robust online and offline distributed reinforcement learning
    Yiding Chen*, Xuezhou Zhang*, Kaiqing Zhang, Mengdi Wang, and Xiaojin Zhu
    In International Conference on Artificial Intelligence and Statistics, 2023
    arXiv
  2. NeurIPS
    Mechanism design for collaborative normal mean estimation
    Yiding Chen, Jerry Zhu, and Kirthevasan Kandasamy
    Advances in Neural Information Processing Systems, 2023
    Spotlight
    arXiv
  3. ICLR
    Diffusing States and Matching Scores: A New Framework for Imitation Learning
    Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, and Wen Sun
    In The Thirteenth International Conference on Learning Representations, 2025
    arXiv
  4. ICML
    Convergence of Consistency Model with Multistep Sampling under General Data Assumptions
    Yiding Chen, Yiyi Zhang, Owen Oertell, and Wen Sun
    In Forty-second International Conference on Machine Learning, 2025
    arXiv