2021
Mixture weights optimisation for Alpha-Divergence Variational Inference
NeurIPS 2021poster
This paper focuses on $\alpha$-divergence minimisation methods for Variational Inference. More precisely, we are interested in algorithms optimising the mixture weights of any given mixture model, without any information on the underlying distribution of its mixture components parameters. The Power…