Frontiers in Computing + Mathematical Sciences

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