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Workshop
Fri 11:27 Non-Gaussian Process Regression
Yaman Kindap
Workshop
Non-Gaussian Process Regression
Yaman Kindap · Simon Godsill
Workshop
Integrated Fourier Features for Fast Sparse Variational Gaussian Process Regression
Talay Cheema
Workshop
Fri 11:06 Statistical Downscaling of Sea Surface Temperature Projections with a Multivariate Gaussian Process Model
Ayesha Ekanayaka
Workshop
Fri 11:12 Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes
Seth Axen
Workshop
Provably Reliable Large-Scale Sampling from Gaussian Processes
Anthony Stephenson · Robert Allison
Workshop
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds
Rui Li · ST John · Arno Solin
Workshop
Fri 11:15 Towards Improved Learning in Gaussian Processes: The Best of Two Worlds
Ke Li
Workshop
Fri 13:30 Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow
Poster
Thu 9:00 Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis · Francisco Antunes · Frederik Hüttel · Carlos Lima Azevedo · Francisco Pereira
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