Bayesian posterior approximation via greedy particle optimization

Futoshi Futami, Zhenghang Cui, Issei Sato +1

In Bayesian inference, the posterior distributions are difficult to obtain analytically for complex models such as neural networks. Variational inference usually uses a parametric…