Spring 2015 Speaker Schedule

Date Speaker Topic
2/23/15

John Kraemer

Baris Yuksel

Machine Learning at Google
3/5/15

Dougal Maclaurin

David Duvenaud

Gradient-based Hyperparameter Optimization through Reversible Learning

3/9/15 Tamara Broderick

Statistical and computational trade-offs from Bayesian
approaches to unsupervised learning

3/16/15 Andrea Tacchetti

Invariant representations for action recognition

4/13/15 Ardavan Saeedi

Discrete Particle Variational Inference

4/27/15 Julian Straub

A Dirichlet Process Mixture Model for Spherical Data