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Poster
Tue 14:00 On the inability of Gaussian process regression to optimally learn compositional functions
Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber
Poster
Thu 9:00 Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
Vidhi Lalchand · Wessel Bruinsma · David Burt · Carl Edward Rasmussen
Workshop
Fri 11:12 Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes
Seth Axen
Workshop
Fri 11:06 Statistical Downscaling of Sea Surface Temperature Projections with a Multivariate Gaussian Process Model
Ayesha Ekanayaka
Workshop
Provably Reliable Large-Scale Sampling from Gaussian Processes
Anthony Stephenson · Robert Allison
Workshop
Fri 11:15 Towards Improved Learning in Gaussian Processes: The Best of Two Worlds
Ke Li
Workshop
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds
Rui Li · ST John · Arno Solin
Workshop
Fri 13:30 Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow
Workshop
Recommendations for Baselines and Benchmarking Approximate Gaussian Processes
Sebastian Ober · David Burt · Artem Artemev · Mark van der Wilk
Workshop
Bayesian Sequential Experimental Design for a Partially Linear Model with a Gaussian Process Prior
Shunsuke Horii
Poster
Thu 9:00 Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis · Francisco Antunes · Frederik Hüttel · Carlos Lima Azevedo · Francisco Pereira
Workshop
Actually Sparse Variational Gaussian Processes
Jake Cunningham · So Takao · Mark van der Wilk · Marc Deisenroth