[Lisa_seminaires] UdeM-McGill-MITACS machine learning seminar Mon March 14th @ 14h00, Z-200

Guillaume Desjardins guillaume.desjardins at gmail.com
Jeu 10 Mar 19:37:23 EST 2011


A UdeM-McGill-MITACS machine learning seminar will be held this
Monday, March 14th. The talk given by Guido Montúfar, will take place
from 14h00-15h00 in the room Z-200 (McNicoll building) at the
Université de Montréal. Hope to see you there !

Title: On Exponential Families and Expressive Power of Related Generative Models
Speaker: Guido Montúfar

Abstract:

In this talk I will present results on exponential families which give
information on the representational power of diverse generative
models. Generative models are able to generate high order correlations
among visible variables even when demanding a series of conditional
independence conditions (important for efficient learning). The
question is: how many hidden variables must they contain? Deep Belief
Networks (DBNs) and Restricted Boltzmann Machines (RBMs) generate
weighted sums of conditional distributions, which means they are
special kinds of mixture models. I will discuss a scheme for
decomposing probability distributions as mixtures of exponential
families and from this derive some results for DBNs and RBMs.


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