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Oral
Thu Jun 13 03:00 AM -- 03:20 AM (KST) @ Room 101
Distribution calibration for regression
In Gaussian Processes
Hao Song · Tom Diethe · Meelis Kull · Peter Flach
[ Video] 
Oral
Thu Jun 13 03:20 AM -- 03:25 AM (KST) @ Room 101
Graph Convolutional Gaussian Processes
In Gaussian Processes
Ian Walker · Ben Glocker
[ Slides]  [ Video] 
Oral
Thu Jun 13 03:25 AM -- 03:30 AM (KST) @ Room 101
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
In Gaussian Processes
Ahsan Alvi · Binxin Ru · Jan-Peter Calliess · Stephen Roberts · Michael A Osborne
[ Slides]  [ Video] 
Oral
Thu Jun 13 03:30 AM -- 03:35 AM (KST) @ Room 101
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver
In Gaussian Processes
David John · Vincent Heuveline · Michael Schober
[ Slides]  [ Video] 
Oral
Thu Jun 13 03:35 AM -- 03:40 AM (KST) @ Room 101
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
In Gaussian Processes
Alessandro Davide Ialongo · Mark van der Wilk · James Hensman · Carl E Rasmussen
[ Slides]  [ Video] 
Oral
Thu Jun 13 03:40 AM -- 04:00 AM (KST) @ Room 101
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs
In Gaussian Processes
Gabriele Abbati · Philippe Wenk · Michael A Osborne · Andreas Krause · Bernhard Schölkopf · Stefan Bauer
[ Video] 
Oral
Thu Jun 13 04:00 AM -- 04:05 AM (KST) @ Room 101
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
In Gaussian Processes
William Wilkinson · Michael Riis Andersen · Joshua D. Reiss · Dan Stowell · Arno Solin
[ Slides]  [ Video] 
Oral
Thu Jun 13 04:05 AM -- 04:10 AM (KST) @ Room 101
Deep Gaussian Processes with Importance-Weighted Variational Inference
In Gaussian Processes
Hugh Salimbeni · Vincent Dutordoir · James Hensman · Marc P Deisenroth
[ Slides]  [ Video] 
Oral
Thu Jun 13 04:10 AM -- 04:15 AM (KST) @ Room 101
Automated Model Selection with Bayesian Quadrature
In Gaussian Processes
Henry Chai · Jean-Francois Ton · Michael A Osborne · Roman Garnett
[ Slides]  [ Video]