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Poster
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Thu 7:45
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Scaling Gaussian Process Regression with Derivatives
David Eriksson · Kun Dong · Eric Lee · David Bindel · Andrew Wilson
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Poster
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Tue 14:00
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Bayesian Nonparametric Spectral Estimation
Felipe Tobar
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Poster
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Thu 7:45
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Automating Bayesian optimization with Bayesian optimization
Gustavo Malkomes · Roman Garnett
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Poster
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Wed 14:00
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Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
Mojmir Mutny · Andreas Krause
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Poster
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Wed 14:00
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Stochastic Nonparametric Event-Tensor Decomposition
Shandian Zhe · Yishuai Du
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Spotlight
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Wed 13:20
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Adversarially Robust Optimization with Gaussian Processes
Ilija Bogunovic · Jonathan Scarlett · Stefanie Jegelka · Volkan Cevher
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Poster
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Tue 14:00
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Inferring Latent Velocities from Weather Radar Data using Gaussian Processes
Rico Angell · Daniel Sheldon
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Poster
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Thu 7:45
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A Bayes-Sard Cubature Method
Toni Karvonen · Chris Oates · Simo Sarkka
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Poster
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Thu 7:45
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Bayesian Semi-supervised Learning with Graph Gaussian Processes
Yin Cheng Ng · Nicolò Colombo · Ricardo Silva
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Spotlight
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Wed 13:15
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Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Zi Wang · Beomjoon Kim · Leslie Kaelbling
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Poster
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Thu 7:45
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Variational Bayesian Monte Carlo
Luigi Acerbi
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Poster
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Thu 14:00
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Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation
Shivapratap Gopakumar · Sunil Gupta · Santu Rana · Vu Nguyen · Svetha Venkatesh
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