Frontiers in Computing and Mathematical Sciences

Monday, January 11, 2021 (Schedule & Abstracts)

Note: This event is for the Caltech Community only.


**Times listed are in PST**

8:55am: Introduction
Andrew Stuart, Caltech

9:00am: Optimal Transport for Inverse Problems and the Implicit Regularization
Yunan Yang, New York University

10:15am: Advancing Scalable, Provable Optimization Methods in Semidefinite & Polynomial Programs
Diego Cifuentes, Massachusetts Institute of Technology

11:30am: Solving High-Dimensional PDEs, Controls, and Games with Deep Learning
Jiequn Han, Princeton University

2:00pm: Proof Engineering Tools for a New Era
Talia Ringer, University of Washington

3:15pm: Reliable Machine Learning in Feedback Systems
Sarah Dean, University of California, Berkeley