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Workshop
Fri 11:27 Non-Gaussian Process Regression
Yaman Kindap
Workshop
Non-Gaussian Process Regression
Yaman Kindap · Simon Godsill
Poster
Thu 9:00 Bezier Gaussian Processes for Tall and Wide Data
Martin Jørgensen · Michael A Osborne
Workshop
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization
Killian Wood · Alec Dunton · Amanda Muyskens · Benjamin Priest
Workshop
Integrated Fourier Features for Fast Sparse Variational Gaussian Process Regression
Talay Cheema
Poster
Tue 9:00 Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing
Chao Shen · Yu-Ting Lin · Hau-Tieng Wu
Workshop
Scalable Spatiotemporal Graph Neural Networks
Andrea Cini · Ivan Marisca · Filippo Maria Bianchi · Cesare Alippi
Poster
Wed 14:00 Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
Michael K. Cohen · Samuel Daulton · Michael A Osborne
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