Bayesian Deep Learning Workshop NIPS 2016

History of Bayesian Neural Networks (Keynote talk)

“Is Bayesian deep learning the most brilliant thing ever?” – a panel discussion

Bayesian Agents: Bayesian Reasoning and Deep Learning in Agent-based Systems

Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Training

Alpha divergence minimization for Bayesian deep learning

Adversarial Approaches to Bayesian Learning and Bayesian Approaches to Adversarial Robustness

Deep exponential families

Relativistic Monte Carlo

Categorical Reparameterization with Gumbel-Softmax & The Concrete Distribution

BNNs for RL: A Success Story and Open Questions