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Oral
Thu Jul 22 09:00 PM -- 09:20 PM (KST)
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
In Gaussian Processes 1
Artem Artemev · David Burt · Mark van der Wilk
[ Paper ]
Spotlight
Thu Jul 22 09:20 PM -- 09:25 PM (KST)
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
In Gaussian Processes 1
Martin Jørgensen · Søren Hauberg
[ Paper ]
Spotlight
Thu Jul 22 09:25 PM -- 09:30 PM (KST)
Variational Auto-Regressive Gaussian Processes for Continual Learning
In Gaussian Processes 1
Sanyam Kapoor · Theofanis Karaletsos · Thang Bui
[ Paper ]
Spotlight
Thu Jul 22 09:30 PM -- 09:35 PM (KST)
Sparse within Sparse Gaussian Processes using Neighbor Information
In Gaussian Processes 1
Gia-Lac Tran · Dimitrios Milios · Pietro Michiardi · Maurizio Filippone
[ Paper ]
Spotlight
Thu Jul 22 09:35 PM -- 09:40 PM (KST)
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
In Gaussian Processes 1
Maud Lemercier · Cristopher Salvi · Thomas Cass · Edwin V Bonilla · Theodoros Damoulas · Terry Lyons
[ Paper ]
Spotlight
Thu Jul 22 09:40 PM -- 09:45 PM (KST)
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
In Gaussian Processes 1
Tim G. J. Rudner · Oscar Key · Yarin Gal · Tom Rainforth
[ Paper ]
Spotlight
Thu Jul 22 09:45 PM -- 09:50 PM (KST)
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
In Gaussian Processes 1
Shengyang Sun · Jiaxin Shi · Andrew Wilson · Roger Grosse
[ Paper ]
Q&A
Thu Jul 22 09:50 PM -- 09:55 PM (KST)
Q&A
In Gaussian Processes 1