Classifier Weighted Mixture models
Machine Learning
2025-01-07 v1 Machine Learning
Abstract
This paper proposes an extension of standard mixture stochastic models, by replacing the constant mixture weights with functional weights defined using a classifier. Classifier Weighted Mixtures enable straightforward density evaluation, explicit sampling, and enhanced expressivity in variational estimation problems, without increasing the number of components nor the complexity of the mixture components.
Cite
@article{arxiv.2501.02989,
title = {Classifier Weighted Mixture models},
author = {Elouan Argouarc'h and François Desbouvries and Eric Barat and Eiji Kawasaki and Thomas Dautremer},
journal= {arXiv preprint arXiv:2501.02989},
year = {2025}
}