| 09:00-09:30 | Registration and Morning Refreshments |
| 09:30-10:00 | Welcome and Opening Ceremony |
| Time | Speaker / Title | Chair |
| 10:00-10:30 |
Robust and Flexible Reward Modeling in Reinforcement Learning |
Shuzhong Zhang |
| Masashi Sugiyama |
| 10:30-11:00 |
Orthogonalized Moment Aberration for Hyperparameter Optimization under Heterogeneity |
| Ming-Chung Chang |
| 11:00-11:30 |
Data-Driven Analysis of First-Order Methods via Distributionally Robust Optimization |
| Bartolomeo Stellato |
| 11:30-12:00 |
Extended-Variable Relaxations for the Constrained Generalized Maximum-Entropy Sampling Problem |
| Jon Lee |
| 12:00-13:30 | Lunch Break |
| 13:30-14:00 |
New Results on the Majorization Schemes for Nonconvex Constrained Optimization |
Bartolomeo Stellato |
| Shuzhong Zhang |
| 14:00-14:30 |
Learning-Enhanced Approximations of Mixed Integer Nonlinear Optimization Problems |
| Claudia D'Ambrosio |
| 14:30-15:00 |
Evolution of Network Intelligence: From Classical Optimization to AI Agents |
| Chih-Wei Huang |
| 15:00-15:30 | Coffee and Tea Break |
| 15:30-16:00 |
Stochastic Block-Iterative Splitting of Systems of Monotone Inclusions |
Claudia d’Ambrosio |
| Patrick L. Combettes |
| 16:00-16:30 |
A Conditional-Gradient-Based Single-Loop Augmented Lagrangian Method for Inequality Constrained Problems |
| Ting Kei Pong |
| 16:30-17:00 |
Point Sketches versus Coresets in k-Means |
| Leo Liberti |
| 17:00-17:30 |
Non-Stationary Douglas-Rachford Revisited |
| Matthew K. Tam |