12 papers with MLG authors appeared at ICML 2019
12 papers with MLG authors appeared at ICML 2019 in Long Beach, CA, USA.
David R. Burt, Carl E. Rasmussen and Mark van der Wilk
Rates of Convergence for Sparse Variational Gaussian Process Regression (Best Paper Award)
Francisco J. R. Ruiz and Michalis K. Titsias
A Contrastive Divergence for Combining Variational Inference and MCMC
Tameem Adel and Adrian Weller
TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning
Yingzhen Li, John Bradshaw and Yash Sharma
Are Generative Classifiers More Robust to Adversarial Attacks?
Alessandro Davide Ialongo, Mark van der Wilk, James Hensman and Carl E. Rasmussen
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
Chao Ma, Sebastian Tschiatschek, Konstantina Palla, José Miguel Hernández- Lobato, Sebastian Nowozin and Cheng Zhang
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Chao Ma, Yingzhen Li and José Miguel Hernández-Lobato
Variational Implicit Processes
Ping Liang Tan and Robert Peharz
Hierarchical Decompositional Mixtures of Variational Autoencoders
Krzystof Choromanski, Mark Rowland, Wenyu Chen and Adrian Weller
Unifying Orthogonal Monte Carlo Methods
Eric Nalisnick, Akihito Matsukawa, Yee Whye Teh, Dilan Gorur and Balaji Lakshminarayanan
Hybrid Models with Deep and Invertible Features
Eric Nalisnick, José Miguel Hernández-Lobato and Padhraic Smyth
Dropout as a Structured Shrinkage Prior
Karl Stelzner, Robert Peharz and Kristian Kersting
Faster Attend-Infer-Repeat with Tractable Probabilistic Models