Shunsuke Horii

Model Selection of Bayesian Hierarchical Mixture of Experts based on Variational Inference

2019

We consider the model selection of the hierarchical mixture of experts (HME). The HME is a tree-structured probabilistic model for regression and classification. The HME model has high prediction accuracy and high interpretability, however, the …

Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions

2021 · arXiv (Cornell University)

In the estimation of the causal effect under linear Structural Causal Models (SCMs), it is common practice to first identify the causal structure, estimate the probability distributions, and then calculate the causal effect. However, if …