- Unifying Distributionally Robust Optimization via Optimal Transport Theory
- International Conference Stochastic Programming, July, 2023.
- Nonsmooth Nonconvex Nonconcave Minimax Optimization
- NeurIPS 2022 Workshop on Optimization for Machine Learning, December, 2022 [slides].
- International Conference on Continuous Optimization (ICCOPT), July, 2022 [slides].
- Department of Mathematics, Rensselaer Polytechnic Institute, February, 2023.
- Trade-off among Infeasibility, Efficiency and Accuracy for Gromov-Wasserstein Computation
- SIAM Conference on Optimization (OP23), June 2023.
- Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints [slides]
- INFORMS Anuual Meeting, October, 2022.
- UT Austin EECS Rising Stars Workshop, October, 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.
