Technology, Artificial Intelligence, Machine Learning, Data Science, Deep Learning.
problem. We propose here a general method for approximate Bayesian inference that is based on minimizingα-divergences and that allows for flexible approximate distributions. The method is evaluated in the context of Bayesian neural networks on extensive experiments. The results show that, in