Best Paper Awards NeurIPS 2018

Non-delusional Q-learning and Value-iteration
By:  Tyler Lu · Dale Schuurmans · Craig Boutilier

Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
By:  Kevin Scaman · Francis Bach · Sebastien Bubeck · Laurent Massoulié · Yin Tat Lee

Nearly Tight Sample Complexity Bounds for Learning Mixtures of Gaussians via Sample Compression Schemes
By:  Hassan Ashtiani · Shai Ben-David · Nick Harvey · Christopher Liaw · Abbas Mehrabian · Yaniv Plan

Neural Ordinary Differential Equations
By:  Tian Qi Chen · Yulia Rubanova · Jesse Bettencourt · David Duvenaud