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