Spotlight Session

Tue 10:30

PM: Gaussian Processes

Spotlight

Tue 10:30

Additive Gaussian Processes Revisited
Xiaoyu Lu · Alexis Boukouvalas · James Hensman

Poster

Tue 15:30

Additive Gaussian Processes Revisited
Xiaoyu Lu · Alexis Boukouvalas · James Hensman

Spotlight

Thu 10:50

Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe

Poster

Thu 15:00

Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe

Spotlight

Thu 8:35

Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
Alexandre Capone · Armin Lederer · Sandra Hirche

Spotlight

Tue 10:40

Adaptive Gaussian Process Change Point Detection
Edoardo Caldarelli · Philippe Wenk · Stefan Bauer · Andreas Krause

Spotlight

Tue 10:45

Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Gregory Benton · Wesley Maddox · Andrew Wilson

Poster

Thu 15:00

Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
Alexandre Capone · Armin Lederer · Sandra Hirche

Spotlight

Wed 13:35

Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Lechao Xiao · Jeffrey Pennington

Spotlight

Tue 11:25

Bayesian Optimization under Stochastic Delayed Feedback
Arun Verma · Zhongxiang Dai · Bryan Kian Hsiang Low

Poster

Tue 15:30

Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Gregory Benton · Wesley Maddox · Andrew Wilson