Awesome Bayesian Deep Learning Papers

• Dropout as a Bayesian Approximation: Insights and Applications
• Nested Variational Compression in Deep Gaussian Processes
• Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
• Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
• A Survey on Bayesian Deep Learning
• Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
• Dropout Inference in Bayesian Neural Networks with Alpha-divergences
• What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
• Deep Gaussian Processes
• Deep Bayesian Neural Nets as Deep Matrix Gaussian Processes
• Avoiding pathologies in very deep networks
• Rapid Prototyping of Probabilistic Models: Emerging Challenges in Variational Inference
• On Modern Deep Learning and Variational Inference
• Scalable Variational Gaussian Process Classification
• Deep Survival Analysis
• Bayesian Inference
• Uncertainty in Deep Learning
• Introduction to Bayesian Statistics
• A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research
• Bayesian modeling of human concept learning