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Workshop
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Fri 11:27
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Non-Gaussian Process Regression
Yaman Kindap
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Workshop
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Non-Gaussian Process Regression
Yaman Kindap · Simon Godsill
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Poster
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Thu 9:00
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Bezier Gaussian Processes for Tall and Wide Data
Martin Jørgensen · Michael A Osborne
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Workshop
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Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization
Killian Wood · Alec Dunton · Amanda Muyskens · Benjamin Priest
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Workshop
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Integrated Fourier Features for Fast Sparse Variational Gaussian Process Regression
Talay Cheema
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Poster
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Tue 9:00
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Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing
Chao Shen · Yu-Ting Lin · Hau-Tieng Wu
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Workshop
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Scalable Spatiotemporal Graph Neural Networks
Andrea Cini · Ivan Marisca · Filippo Maria Bianchi · Cesare Alippi
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Poster
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Wed 14:00
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Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
Michael K. Cohen · Samuel Daulton · Michael A Osborne
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Workshop
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Fri 11:12
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Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes
Seth Axen
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Workshop
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Fri 11:06
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Statistical Downscaling of Sea Surface Temperature Projections with a Multivariate Gaussian Process Model
Ayesha Ekanayaka
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Workshop
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Provably Reliable Large-Scale Sampling from Gaussian Processes
Anthony Stephenson · Robert Allison
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Workshop
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Fri 11:15
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Towards Improved Learning in Gaussian Processes: The Best of Two Worlds
Ke Li
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