Adversarial $\alpha$-divergence Minimization for Bayesian Approximate Inference

Simón Rodríguez Santana, Daniel Hernández-Lobato

Neural networks are popular state-of-the-art models for many different tasks.They are often trained via back-propagation to find a value of the weights that correctly predicts the…