Talks

  • Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints [slides]

    • INFORMS Anuual Meeting, October, 2022.
    • UT Austin EECS Rising Stars Workshop, October, 2022.
  • Nonsmooth Composite Nonconvex-Concave Minimax Optimization [slides]

    • International Conference on Continuous Optimization (ICCOPT), July, 2022.
  • Modified Frank-Wolfe in Probability Space [slides]

    • Workshop “Robustness and Resilience in Stochastic Optimization and Statistical Learning: Mathematical Foundations”, May, 2022.
    • VinAI NeurIPS 2021 Workshop, Nov, 2021.
  • Efficient and Provable Algorithms for Wasserstein Distributionally Robust Optimization in Machine Learning [slides]

    • INFORMS Anuual Meeting, October, 2021.
    • ETH AI Center Post-Doctoral Fellowship Symposium, March 2021.
  • Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust SVM

    • NeurIPS 2020 (Poster), December 2020.
  • A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression

    • The 17th Chinese Workshop on Machine Learning and applications (MLA 2019).
    • NeurIPS 2019 (Poster), December 2019.
  • Policy Optimization with Second-Order Advantage Information

    • IJCAI 2018 (Poster), July 2018.