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Workshop
Variational Auto-Regressive Gaussian Processes for Continual Learning
Workshop
Online Inducing Points Selection for Gaussian Processes
Workshop
Sat 11:45 "Uncertainty Quantification Using Martingales for Misspecified Gaussian Processes"
Aaditya Ramdas
Workshop
(#50 / Sess. 1) Graph Convolutional Gaussian Processes for Link Prediction
Felix Opolka
Workshop
Sat 12:05 2.12 Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters
Sulin Liu
Poster
Wed 13:00 State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
William Wilkinson · Paul Chang · Michael Andersen · Arno Solin
Poster
Wed 8:00 Randomly Projected Additive Gaussian Processes for Regression
Ian Delbridge · David S Bindel · Andrew Wilson
Test Of Time
Mon 4:00 Test of Time: Gaussian Process Optimization in the Bandit Settings: No Regret and Experimental Design
Niranjan Srinivas · Andreas Krause · Sham Kakade · Matthias Seeger
Poster
Wed 14:00 Sparse Gaussian Processes with Spherical Harmonic Features
Vincent Dutordoir · Nicolas Durrande · James Hensman
Poster
Tue 14:00 Knowing The What But Not The Where in Bayesian Optimization
Vu Nguyen · Michael A Osborne
Workshop
Poster presentation: On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models
Invertible Workshop INNF
Poster
Wed 13:00 Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
Csaba Toth · Harald Oberhauser