Contributed Talk
in
Workshop: Advances in Modeling and Learning Interactions from Complex Data

The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities

Arun Suggala

2017 Contributed Talk
in
Workshop: Advances in Modeling and Learning Interactions from Complex Data

Abstract

Non-parametric multivariate density estimation faces strong statistical and computational bottlenecks, and the more practical approaches impose near-parametric assumptions on the form of the density functions. In this paper, we leverage recent developments to propose a class of non-parametric models which have very attractive computational and statistical properties.

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