Monday, January 11, 2021 (Schedule & Abstracts)
| Location: Online Event for Caltech Community Only -- Please contact Sydney Garstang for the Zoom link. | |
| Time (PST) | Speaker |
| 8:55 |
Introduction
Andrew Stuart, Caltech |
| 9:00 |
Optimal Transport for Inverse Problems and the Implicit Regularization
Yunan Yang, New York University |
| 10:15 |
Advancing Scalable, Provable Optimization Methods in Semidefinite & Polynomial Programs
Diego Cifuentes, Massachusetts Institute of Technology |
| 11:30 |
Solving High-Dimensional PDEs, Controls, and Games with Deep Learning
Jiequn Han, Princeton University |
| 2:00 |
Proof Engineering Tools for a New Era
Talia Ringer, University of Washington |
| 3:15 |
Reliable Machine Learning in Feedback Systems
Sarah Dean, University of California, Berkeley |
Monday, February 8, 2021 (Schedule & Abstracts)
| Location: Online Event for Caltech Community Only -- Please contact Sydney Garstang for the Zoom link. | |
| Time (PST) | Speaker |
| 8:55 |
Introduction
Andrew Stuart, Caltech |
| 9:00 |
Demystifying the Efficiency of Reinforcement Learning: Two Recent Stories
Yuxin Chen, Princeton University |
| 10:15 |
Bridging Learning and Decision Making
Dylan Foster, Massachusetts Institute of Technology |
| 11:30 |
Integrating Machine Learning into Algorithm Design
Ellen Vitercik, Carnegie Mellon University |
| 2:00 |
Inferring Chaos and Emergent Low-Dimensionality in Living Dynamical Systems
William Gilpin, Harvard Quantitative Biology Initiative |
