Calendar

All Topics (March 1 through May 31)

Thursday, March 2

4:00 PM

Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection (Yixin Wang -- University of Michigan)

Thursday, March 23

4:00 PM

Kernel Thinning and Stein Thinning (Lester Mackey -- Microsoft Research New England)

Thursday, March 30

4:00 PM

A new perspective on quasi-stationary distributions (Paul Dupuis -- Brown University)

Thursday, April 6

4:00 PM

Quantifying similarity and variability in artificial and biological neural networks (Alex Williams -- NYU, Flatiron)

Thursday, April 13

4:00 PM

Self-Avoiding Models: Polymers and Surfaces (Carl Mueller -- University of Rochester)

Thursday, April 20

4:00 PM

TBA (James Robins -- Harvard)

Thursday, April 27

4:00 PM

Function-space regularized divergences and optimal transport for enhanced generative modeling (Markos Katsoulakis -- UMass Amherst)

Thursday, May 4

4:00 PM

Manifold-integrated Gaussian process modeling, with applications to surrogate modeling of quark-gluon plasma simulations (Simon Mak -- Duke University)