Awards NeurIPS NeurIPS 2019

Outstanding Paper

• Distribution-Independent PAC Learning of Halfspaces with Massart Noise

Honorable Mentions:

• Nonparametric Density Estimation Convergence Rates for GANs under Besov IPM Losses
• Fast and Accurate Least-Mean-Squares Solvers

Outstanding New Directions Paper Award:

• Uniform convergence may be unable to explain generalization in deep learning

Honorable Mentions: 

• Putting An End to End-to-End: Gradient-Isolated Learning of Representations
• Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

Best Demonstration

• TBA

Runner Up Demonstration

• TBA

2nd Runner Up Demonstration

• TBA