VMP
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