## Þorsteinn Jónsson (02/07/18)

Math Colloquium

### Speaker: Þorsteinn Jónsson, University of Guelph

### Title: Variational Techniques for Learning Distributions of Data

Location: V-147 (VR-II)

Time: Monday 2 July at 10:30

### Abstract:

In this talk I will give an overview of a set of techniques that allow us to define latent variable models of data generating distributions.

To this end we introduce neural networks as an efficient and a surprisingly effective way of finding variational parameters that best fit some specified objective.

I will discuss a couple of different approaches that can be taken to define this objective and show you some interesting results.