2019
Variational Training for Large-Scale Noisy-OR Bayesian Networks
UAI 2019poster
We propose a stochastic variational inference algorithm for training large-scale Bayesian networks, where noisy-OR conditional distributions are used to capture higher-order relationships. One application is to the learning of hierarchical topic models for text data. While previous work has focused…