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