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Poster
Tue 14:00 The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
Fergus Simpson · Alexis Boukouvalas · Vaclav Cadek · Elvijs Sarkans · Nicolas Durrande
Poster
Tue 14:00 Fast Adaptation with Linearized Neural Networks
Wesley Maddox · Shuai Tang · Pablo Moreno · Andrew Gordon Wilson · Andreas Damianou
Poster
Tue 14:00 Matérn Gaussian Processes on Graphs
Viacheslav Borovitskiy · Iskander Azangulov · Alexander Terenin · Peter Mostowsky · Marc Deisenroth · Nicolas Durrande
Poster
Tue 14:00 No-Regret Algorithms for Private Gaussian Process Bandit Optimization
Abhimanyu Dubey
Poster
Tue 18:30 Multi-Fidelity High-Order Gaussian Processes for Physical Simulation
Zheng Wang · Wei Xing · Robert Kirby · Shandian Zhe
Poster
Tue 18:30 Hierarchical Inducing Point Gaussian Process for Inter-domian Observations
Luhuan Wu · Andrew Miller · Lauren Anderson · Geoff Pleiss · David Blei · John Cunningham
Poster
Wed 6:00 Linearly Constrained Gaussian Processes with Boundary Conditions
Markus Lange-Hegermann
Poster
Wed 6:00 Scalable Gaussian Process Variational Autoencoders
Metod Jazbec · Matt Ashman · Vincent Fortuin · Michael Pearce · Stephan Mandt · Gunnar Rätsch
Poster
Wed 6:00 Calibrated Adaptive Probabilistic ODE Solvers
Nathanael Bosch · Philipp Hennig · Filip Tronarp
Poster
Wed 6:00 Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations
Simone Rossi · Markus Heinonen · Edwin Bonilla · Zheyang Shen · Maurizio Filippone
Oral
Wed 11:45 Matérn Gaussian Processes on Graphs
Viacheslav Borovitskiy · Iskander Azangulov · Alexander Terenin · Peter Mostowsky · Marc Deisenroth · Nicolas Durrande
Poster
Wed 12:45 Direct Loss Minimization for Sparse Gaussian Processes
Yadi Wei · Rishit Sheth · Roni Khardon