|
Poster
|
Tue 8:00 |
Nonparametric Score Estimators Yuhao Zhou · Jiaxin Shi · Jun Zhu |
|
|
Poster
|
Tue 9:00 |
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features Liang Ding · Rui Tuo · Shahin Shahrampour |
|
|
Poster
|
Tue 9:00 |
Disentangling Trainability and Generalization in Deep Neural Networks Lechao Xiao · Jeffrey Pennington · Samuel Schoenholz |
|
|
Poster
|
Tue 10:00 |
Harmonic Decompositions of Convolutional Networks Meyer Scetbon · Zaid Harchaoui |
|
|
Poster
|
Tue 10:00 |
Structured Prediction with Partial Labelling through the Infimum Loss Vivien Cabannnes · Alessandro Rudi · Francis Bach |
|
|
Poster
|
Tue 11:00 |
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu · Wenkai Xu · Jie Lu · Guangquan Zhang · Arthur Gretton · D.J. Sutherland |
|
|
Poster
|
Tue 11:00 |
Kernel Methods for Cooperative Multi-Agent Contextual Bandits Abhimanyu Dubey · Alex `Sandy' Pentland |
|
|
Poster
|
Tue 13:00 |
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses Pierre Laforgue · Alex Lambert · Luc Brogat-Motte · Florence d'Alche-Buc |
|
|
Poster
|
Tue 14:00 |
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling David Woodruff · Amir Zandieh |
|
|
Poster
|
Tue 18:00 |
Learning to Learn Kernels with Variational Random Features Xiantong Zhen · Haoliang Sun · Yingjun Du · Jun Xu · Yilong Yin · Ling Shao · Cees Snoek |
|
|
Poster
|
Wed 5:00 |
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy Jiaoyang Huang · Horng-Tzer Yau |
|
|
Poster
|
Wed 8:00 |
Randomly Projected Additive Gaussian Processes for Regression Ian Delbridge · David S Bindel · Andrew Wilson |