Weight Uncertainty in Neural Networks (Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra - ICML 2015) Discussant: Alex Lee
Variational Dropout and the Local Reparameterization Trick (Diederik Kingma, Tim Salimans, Max Welling - NIPS 2015) Discussant: Eric Tzeng
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks - Jose Miguel Hernandez-Lobato, Ryan P. Adams
Bayesian Dark Knowledge - Anoop Korattikara, Vivek Rathod, Kevin Murphy, Max Welling
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning - Yarin Gal, Zoubin Ghahramani
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference - Yarin Gal, Zoubin Ghahramani
Organizer: Sandy Huang