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Alpha divergence minimization for Bayesian deep learning
f-divergence and alpha-divergence
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization (NIPS 2016)
From GANs to Variational Divergence Minimization
Yee Whye Teh: On Bayesian Deep Learning and Deep Bayesian Learning (NIPS 2017 Keynote)
Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial
Kamélia Daudel: Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders
Reverse KL-Divergence training of Prior Networks
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
Bayesian Deep Learning — ANDREW GORDON WILSON
Maurizio Filippone: Functional Priors for Bayesian Deep Learning
Regret bounds for generalized Bayes updates