- Unveiling Spurious Stationary Points for Bregman Divergence-based Algorithms
- 25th International Symposium on Mathematical Programming, July, 2024.
- Nonsmooth Nonconvex-Nonconcave Minimax OPT: Algorithm Design and Convergence Analysis
- University of British Columbia, Sauder School of Business, Virtual, November, 2023.
- University of Washington, Department of Mathematics, December, 2023.
- Rensselaer Polytechnic Institute (RPI), Mathematical Sciences, December, 2023.
- Cornell University, Operations Research and Information Engineering, December, 2023.
- University of Waterloo, Combinatorics and Optimization (C\&O) department, Virtual, January, 2024.
- Columbia University, Department of Industrial Engineering and Operations Research, January, 2024.
- Purdue University, School of Industrial Engineering, January, 2024.
- INFORMS Optimization Society 2024 Conference, March, 2024.
- Nonconvex Nonconcave Minimax Optimization for Data-driven Decision Making
- INFORMS Annual Meeting, October, 2023 [slides].
- Trade-off among Infeasibility, Efficiency and Accuracy for Gromov-Wasserstein Computation
- SIAM Conference on Optimization (OP23), June 2023 [slides].
- Women in Optimal Transport, April 2024.
- Unifying Distributionally Robust Optimization via Optimal Transport Theory
- International Conference Stochastic Programming, July, 2023 [slides].
- 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.
- Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints [slides]
- INFORMS Annual 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.
