firstbacksecondback
Filter by Keyword:
86 Results
|
Poster
|
Tue 8:30 |
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models Lenart Treven · Philippe Wenk · Florian Dorfler · Andreas Krause |
|
|
Poster
|
Tue 16:30 |
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations Tim G. J. Rudner · Cong Lu · Michael A Osborne · Yarin Gal · Yee Teh |
|
|
Poster
|
Thu 16:30 |
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization Mufan Li · Mihai Nica · Dan Roy |
|
|
Poster
|
Wed 16:30 |
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers Julian Katz-Samuels · Blake Mason · Kevin Jamieson · Rob Nowak |
|
|
Poster
|
Thu 0:30 |
Structure-Aware Random Fourier Kernel for Graphs Jinyuan Fang · Qiang Zhang · Zaiqiao Meng · Shangsong Liang |
|
|
Poster
|
Tue 8:30 |
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu · Wenkai Xu · Jie Lu · Danica J. Sutherland |
|
|
Poster
|
Tue 8:30 |
The Inductive Bias of Quantum Kernels Jonas Kübler · Simon Buchholz · Bernhard Schölkopf |
|
|
Poster
|
Tue 8:30 |
Large-Scale Learning with Fourier Features and Tensor Decompositions Frederiek Wesel · Kim Batselier |
|
|
Poster
|
Fri 8:30 |
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels Stefani Karp · Ezra Winston · Yuanzhi Li · Aarti Singh |
|
|
Poster
|
Tue 8:30 |
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels Michael Hutchinson · Alexander Terenin · Viacheslav Borovitskiy · So Takao · Yee Teh · Marc Deisenroth |
|
|
Poster
|
Tue 8:30 |
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera · Jacek Tabor · Aleksandra Nowak · Andrzej Bedychaj · Massimiliano Patacchiola · Tomasz Trzcinski · Przemysław Spurek · Maciej Zieba |
|
|
Poster
|
Tue 16:30 |
Self-Supervised Learning with Kernel Dependence Maximization Yazhe Li · Roman Pogodin · Danica J. Sutherland · Arthur Gretton |