Publications and Working Papers

The following articles are in reverse chronological order. You can also find my articles on my Google Scholar profile.

• Decoupling Learning and Decision-Making: Breaking the $O(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods [arXiv]
  Wenzhi Gao, Chunlin Sun, Chenyu Xue, Dongdong Ge, Yinyu Ye
  ICML 2024.
• When No-Rejection Learning is Optimal for Regression with Rejection [arXiv]
  ($\alpha$-$\beta$) Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang
  AISTATS 2024.
• Learning to Make Adherence-Aware Advice [arXiv]
  ($\alpha$-$\beta$) Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang
  ICLR 2024.
• Learning While Repositioning in On-Demand Vehicle Sharing Networks [SSRN]
  ($\alpha$-$\beta$) Hansheng Jiang, Shunan Jiang, Zuo-Jun Max Shen, Chunlin Sun
• Predict-then-Calibrate: A New Perspective of Robust Contextual LP [arXiv]
  Chunlin Sun, Linyu Liu, Xiaocheng Li
  NeurIPS 2023.
• Solving Linear Programs with Fast Online Learning Algorithms [arXiv]
  ($\alpha$-$\beta$) Wenzhi Gao, Dongdong Ge, Chunlin Sun, Yinyu Ye
  ICML 2023.
• Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming [arXiv]
  Chunlin Sun, Shang Liu, Xiaocheng Li
  ICML 2023.
• Stochastic Inverse Optimization [Draft]
  ($\alpha$-$\beta$) John Birge, Xiaocheng Li, Chunlin Sun
• Learning from Stochastically Revealed Preference [arXiv]
  ($\alpha$-$\beta$) John Birge, Xiaocheng Li, Chunlin Sun
  NeurIPS 2022.
• An Adaptive State Aggregation Algorithm for Markov Decision Processes [arXiv]
  ($\alpha$-$\beta$) Guanting Chen, Johann Demetrio Gaebler, Matt Peng, Chunlin Sun, Yinyu Ye
  AAAI Workshop on Reinforcement Learning in Games Virtual, 2022.
• The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks [arXiv]
  ($\alpha$-$\beta$) Xiaocheng Li, Chunlin Sun, Yinyu Ye
  ICML 2021. (Long talk)
• Simple and fast algorithm for binary integer and online linear programming [arXiv]
  ($\alpha$-$\beta$) Xiaocheng Li, Chunlin Sun, Yinyu Ye
  Mathematical Programming 2022 (Preliminary version on NeurIPS 2020.)