Class Type: Spring 2021
Faster Optimization: From linear programming to semidefinite programming
Zhao Song
School of Mathematics, Institute for Advanced Study
Machine Learning and Inverse Problems: Depth and Model Adaptation
Rebecca Willett
University of Chicago
Statistical Aspects of Wasserstein Distributionally Robust Optimization Estimators
Jose Blanchet
Stanford
POSTPONED: Generalization to Natural Out-of-Distribution Inputs
POSTPONED:Tara Javidi
University of California, San Diego
Two Facets of Learning Robust Models: Fundamental Limits and Generalization to Natural Out-of-Distribution Inputs
Hamed Hassani
University of Pennsylvania
Local Elasticity: A Phenomenological Approach Toward Understanding Deep Learning
Weijie Su
University of Pennsylvania
Computational Complexity of Learning Neural Networks over Gaussian Marginals
Surbhi Goel
University of Texas