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Oral
Wed Jun 12 11:00 AM -- 11:20 AM (PDT) @ Room 101
Distribution calibration for regression
Hao Song · Tom Diethe · Meelis Kull · Peter Flach
Oral
Wed Jun 12 11:20 AM -- 11:25 AM (PDT) @ Room 101
Graph Convolutional Gaussian Processes
Ian Walker · Ben Glocker
Oral
Wed Jun 12 11:25 AM -- 11:30 AM (PDT) @ Room 101
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
Ahsan Alvi · Binxin Ru · Jan-Peter Calliess · Stephen Roberts · Michael A Osborne
Oral
Wed Jun 12 11:30 AM -- 11:35 AM (PDT) @ Room 101
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver
David John · Vincent Heuveline · Michael Schober
Oral
Wed Jun 12 11:35 AM -- 11:40 AM (PDT) @ Room 101
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
Alessandro Davide Ialongo · Mark van der Wilk · James Hensman · Carl E Rasmussen
Oral
Wed Jun 12 11:40 AM -- 12:00 PM (PDT) @ Room 101
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs
Gabriele Abbati · Philippe Wenk · Michael A Osborne · Andreas Krause · Bernhard Schölkopf · Stefan Bauer
Oral
Wed Jun 12 12:00 PM -- 12:05 PM (PDT) @ Room 101
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
William Wilkinson · Michael Riis Andersen · Joshua D. Reiss · Dan Stowell · Arno Solin
Oral
Wed Jun 12 12:05 PM -- 12:10 PM (PDT) @ Room 101
Deep Gaussian Processes with Importance-Weighted Variational Inference
Hugh Salimbeni · Vincent Dutordoir · James Hensman · Marc P Deisenroth
Oral
Wed Jun 12 12:10 PM -- 12:15 PM (PDT) @ Room 101
Automated Model Selection with Bayesian Quadrature
Henry Chai · Jean-Francois Ton · Michael A Osborne · Roman Garnett