| 09:30-10:00 | Morning Refreshments |
| Time | Speaker / Title | Chair |
| 10:00-10:30 |
State-Space Representation of Neural Networks via Implicit Models and Applications |
David M. Rosen |
| Laurent El Ghaoui |
| 10:30-11:00 |
Sum of Squares Submodularity |
| Anna Deza |
| 11:00-11:30 |
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation |
| Hsuan-Tien Lin |
| 11:30-12:00 |
Linear Interior-Point Methods |
| Bento Natura |
| 12:00-13:30 | Lunch Break |
| 13:30-14:00 |
Concave Certificates: Geometric Framework for Distributionally Robust Risk and Complexity Analysis |
Patrick L. Combettes |
| Chu Thi Mai Hong |
| 14:00-14:30 |
Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion Systems |
| Jenn-Nan Wang |
| 14:30-15:00 |
Online Learning of Quantum States with Logarithmic Loss |
| Yen-Huan Li |
| 15:00-15:30 | Coffee and Tea Break |
| 15:30-16:00 |
Efficient Global Polynomial Optimization for Machine Perception |
Laurent El Ghaoui |
| David M. Rosen |
| 16:00-16:30 |
Adaptive Forward-Backward Splitting for Multi-Layer Convolutional Dictionary Learning |
| Guan-Ju Peng |
| 16:30-17:00 |
A Neurodynamical Neural Network Approach for Solving Support Vector Machine Problems with Generalized Pinball Loss via Hyperbolic Tangent Smoothing |
| Rabian Wangkeeree |