# Statistical Inference with Unnormalized Models

##### Posted on (Update: )

This post is based on the talk given by T. Kanamori at the 11th ICSA International Conference on Dec. 22nd, 2019.

## Problem Setting

## Estimation Models

Other divergences: density-power divergences, pseudo spherical divergence, etc. => robust estimators

Different from the intractable models talked in the MCMC, which only aims to get a sample from the untractable model, but here we need to get a (MLE) estimate of the parameter.

### Proposed Approach

where the variational representation of KL divergences is that

where the Stein operator is defined by

## Theoretical Properties

more details can be found in the M-estimator.

the calculation procedure is as follows: