13 papers with MLG authors will appear at ICML 2018 in Stockholm, Sweden.

Matej Balog, Ilya Tolstikhin, and Bernhard Schölkopf
Differentially Private Database Release via Kernel Mean Embeddings

Niki Kilbertus, Adrià Gascón, Matt Kusner, Michael Veale, Krishna Gummadi and Adrian Weller
Blind Justice: Fairness with Encrypted Sensitive Attributes.

Jiri Hron, Alexander G. de G. Matthews and Zoubin Ghahramani
Variational Bayesian dropout: pitfalls and fixes.

Gintare Karolina Dziugaite and Daniel M. Roy
Entropy-SGD optimizes the prior of a PAC-Bayes bound

George Tucker, Surya Bhupatiraju, Shixiang Gu, Richard E. Turner, Zoubin Ghahramani and Sergey Levine,
The Mirage of Action-Dependent Baselines in Reinforcement Learning

Paavo Parmas, Jan Peters, Carl E. Rasmussen and Kenji Doya
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos

Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, and David M. Blei.
Augment and Reduce: Stochastic Inference for Large Categorical Distributions.

Stefan Depeweg, Jose Miguel Hernández-Lobato, Finale Doshi-Velez and Steffen Udluft
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning

Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla and Bernhard Schölkopf
Learning Independent Causal Mechanisms

Krzysztof Choromanski , Mark Rowland, Vikas Sindhwani , Richard E. Turner and Adrian Weller.
Structured Evolution with Compact Architectures for Scalable Policy Optimization

Tameem Adel, Zoubin Ghahramani and Adrian Weller
Discovering Interpretable Representations for Both Deep Generative and Discriminative Models

Sungsoo Ahn, Misha Chertkov, Adrian Weller and Jinwoo Shin
Bucket Renormalization for Approximate Inference

Yingzhen Li and Stephan Mandt.
Disentangled Sequential Autoencoder