PPaperPicks

Qiaomin Xie

University of Wisconsin-Madison, WI, USA

16 papers at tracked venues · 12 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Yudong Chen
×7
Jeremy McMahan
×4
Josiah P. Hanna
×3
Young Wu
×3
Xiaojin Zhu
×3
Matthew Zurek
×2
Yixuan Zhang
×2
Jeongyeol Kwon
×2
Brahma S. Pavse
×2
Dongyan Lucy Huo
×2
Yiding Chen
×2
Tianhao Wu
×1

Papers

  1. Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs (extended abstract)
    COLT 2026 ·
    Tianhao Wu
    ,
    Matthew Zurek
    ,
    Weina Wang
    , Qiaomin Xie
  2. Contextual Online Pricing with (Biased) Offline Data
    NeurIPS 2025 ·
    Yixuan Zhang
    ,
    Ruihao Zhu
    , Qiaomin Xie
  3. Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent
    AAAI 2025 ·
    Xiang Li
    , Qiaomin Xie
  4. Offline Actor-Critic for Average Reward MDPs
    NeurIPS 2025 ·
    William G. Powell
    ,
    Jeongyeol Kwon
    , Qiaomin Xie,
    Hanbaek Lyu
  5. Stable Offline Value Function Learning with Bisimulation-based Representations
    ICML 2025 ·
    Brahma S. Pavse
    ,
    Yudong Chen
    , Qiaomin Xie,
    Josiah P. Hanna
  6. Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
    AISTATS 2025 ·
    Jeongyeol Kwon
    ,
    Luke Dotson
    ,
    Yudong Chen
    , Qiaomin Xie
  7. Data Poisoning to Fake a Nash Equilibria for Markov Games
    AAAI 2024 ·
    Young Wu
    ,
    Jeremy McMahan
    ,
    Xiaojin Zhu
    , Qiaomin Xie
  8. Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference
    AAAI 2024 ·
    Dongyan Lucy Huo
    ,
    Yudong Chen
    , Qiaomin Xie
  9. Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption
    AAAI 2024 ·
    Yiding Chen
    ,
    Xuezhou Zhang
    , Qiaomin Xie,
    Xiaojin Zhu
  10. Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces
    ICML 2024 ·
    Brahma S. Pavse
    ,
    Matthew Zurek
    ,
    Yudong Chen
    , Qiaomin Xie,
    Josiah P. Hanna
  11. Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value
    ICML 2024 ·
    Young Wu
    ,
    Jeremy McMahan
    ,
    Yiding Chen
    ,
    Yudong Chen
    ,
    Jerry Zhu
    , Qiaomin Xie
  12. Optimal Attack and Defense for Reinforcement Learning
    AAAI 2024 ·
    Jeremy McMahan
    ,
    Young Wu
    ,
    Xiaojin Zhu
    , Qiaomin Xie
  13. Roping in Uncertainty: Robustness and Regularization in Markov Games
    ICML 2024 ·
    Jeremy McMahan
    ,
    Giovanni Artiglio
    , Qiaomin Xie
  14. SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
    AISTATS 2024 ·
    Subhojyoti Mukherjee
    , Qiaomin Xie,
    Josiah P. Hanna
    ,
    Robert D. Nowak
  15. Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements
    AISTATS 2024 ·
    Emmanouil-Vasileios Vlatakis-Gkaragkounis
    ,
    Angeliki Giannou
    ,
    Yudong Chen
    , Qiaomin Xie
  16. The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
    NeurIPS 2024 ·
    Dongyan Lucy Huo
    ,
    Yixuan Zhang
    ,
    Yudong Chen
    , Qiaomin Xie