On the Width Scaling of Neural Optimizers: Convergence Rates and Intrinsic Width Dependence
- INFORMS Optimization Society Conference — March 2026
On the Width Scaling of Neural Optimizers: A Matrix Operator Norm Perspective
- CUHK SEEM — March 2025
- HKUST IEDA — January 2025
Asymptotic Normality and Optimality of Stochastic Linearized Augmented Lagrangian Method
- SIAM Conference on Optimization — March 2026
- INFORMS Annual Meeting — October 2025
Spurious Stationarity and Hardness Results for Bregman Proximal-type Algorithms
- International Conference on Continuous Optimization (ICCOPT) — July 2025
- Joint Mathematics Meeting — January 2025
- Simon Fraser University, Department of Mathematics — January 2025
- HKUST IEDA & Business School — December 2024
- Canadian Mathematical Society Meeting — November 2024
- 26th Midwest Optimization Meeting — November 2024
- UBC Institute of Applied Mathematics — October 2024
- INFORMS Annual Meeting — October 2024
- West Coast Optimization Meeting — September 2024
Stability Evaluation via Distributional Perturbation Analysis
- INFORMS Applied Probability Society Conference — June 2025
- The Chinese University of Hong Kong, Department of Statistics — July 2024
- Shanghai University of Finance and Economics, Department of Statistics — July 2024
Nonsmooth Nonconvex-Nonconcave Minimax OPT: Algorithm Design and Convergence Analysis
- INFORMS Optimization Society Conference — March 2024
- Purdue University, School of Industrial Engineering — January 2024
- Columbia University, Department of Industrial Engineering and Operations Research — January 2024
- University of Waterloo, Combinatorics and Optimization — January 2024, virtual
- Cornell University, Operations Research and Information Engineering — December 2023
- Rensselaer Polytechnic Institute, Mathematical Sciences — December 2023
- University of Washington, Department of Mathematics — December 2023
- UBC Sauder School of Business — November 2023, virtual
- NeurIPS Workshop on Optimization for Machine Learning — December 2022
- International Conference on Continuous Optimization (ICCOPT) — July 2022
Trade-off among Infeasibility, Efficiency and Accuracy for Gromov-Wasserstein Computation
- Women in Optimal Transport Workshop — April 2024
- SIAM Conference on Optimization (OP23) — June 2023
- UT Austin EECS Rising Stars Workshop — October 2022
Nonconvex Nonconcave Minimax Optimization for Data-driven Decision Making
- INFORMS Annual Meeting — October 2023
Unifying Distributionally Robust Optimization via Optimal Transport Theory
- International Conference on Stochastic Programming — July 2023
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints
- INFORMS Annual Meeting — October 2022
- UT Austin EECS Rising Stars Workshop — October 2022
Modified Frank-Wolfe in Probability Space
- Robustness and Resilience in Stochastic Optimization and Statistical Learning: Mathematical Foundations — May 2022
- VinAI NeurIPS Workshop — November 2021, virtual
Efficient and Provable Algorithms for Wasserstein Distributionally Robust Optimization in Machine Learning
- INFORMS Annual Meeting — October 2021, virtual
- ETH AI Center Postdoctoral Fellowship Symposium — March 2021