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Spotlight Session
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Tue 10:30
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PM: Gaussian Processes
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Spotlight
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Tue 10:30
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Additive Gaussian Processes Revisited
Xiaoyu Lu · Alexis Boukouvalas · James Hensman
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Poster
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Tue 15:30
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Additive Gaussian Processes Revisited
Xiaoyu Lu · Alexis Boukouvalas · James Hensman
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Spotlight
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Thu 10:50
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Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe
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Poster
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Thu 15:00
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Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe
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Spotlight
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Thu 8:35
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Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
Alexandre Capone · Armin Lederer · Sandra Hirche
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Spotlight
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Tue 10:40
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Adaptive Gaussian Process Change Point Detection
Edoardo Caldarelli · Philippe Wenk · Stefan Bauer · Andreas Krause
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Spotlight
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Tue 10:45
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Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Gregory Benton · Wesley Maddox · Andrew Wilson
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Poster
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Thu 15:00
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Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
Alexandre Capone · Armin Lederer · Sandra Hirche
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Spotlight
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Tue 11:25
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Bayesian Optimization under Stochastic Delayed Feedback
Arun Verma · Zhongxiang Dai · Bryan Kian Hsiang Low
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Spotlight
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Wed 13:35
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Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Lechao Xiao · Jeffrey Pennington
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Poster
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Tue 15:30
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Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Gregory Benton · Wesley Maddox · Andrew Wilson
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