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ANC Workshop: Mark van Rossum and Michael Gutmann, Chair: David Sterratt

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What
  • ANC Workshop Talk
When Nov 14, 2017
from 11:00 AM to 12:00 PM
Where IF 4.31/4.33
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Michael Gutmann

Title: Conditional Noise-Contrastive Estimation

Noise-contrastive estimation (NCE) is a method for learning the parameters of models that are specified up their normalising partition function. Such models occur, for instance, in image or natural language processing. NCE works by training a classifier to distinguish between the observed and some reference data (the "noise" in noise-contrastive estimation). I present a version of NCE where the noise distribution is specified conditional on the observed data, which allows one to partly automate its specification.

 

This work was done as part of the MSc thesis by Ciwan Ceylan during his visit to Informatics this spring. The full thesis is available here:

https://kth.diva-portal.org/smash/get/diva2:1139156/FULLTEXT01.pdf