Skip to yearly menu bar Skip to main content


(8 events)   Timezone:  
Show all
The 2021 schedule is still incomplete
Toggle Poster Visibility
Oral
Tue Jul 20 10:00 PM -- 10:20 PM (KST)
What Are Bayesian Neural Network Posteriors Really Like?
In Deep Learning (Bayesian)
Pavel Izmailov · Sharad Vikram · Matthew Hoffman · Andrew Wilson
[ Paper ]
Spotlight
Tue Jul 20 10:20 PM -- 10:25 PM (KST)
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
In Deep Learning (Bayesian)
Alexander Immer · Matthias Bauer · Vincent Fortuin · Gunnar Ratsch · Khan Emtiyaz
[ Paper ]
Spotlight
Tue Jul 20 10:25 PM -- 10:30 PM (KST) @ Virtual
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
In Deep Learning (Bayesian)
Aurick Zhou · Sergey Levine
[ Slides] 
[ Paper ]
Spotlight
Tue Jul 20 10:30 PM -- 10:35 PM (KST)
Deep kernel processes
In Deep Learning (Bayesian)
Laurence Aitchison · Adam Yang · Sebastian Ober
[ Paper ]
Spotlight
Tue Jul 20 10:35 PM -- 10:40 PM (KST)
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
In Deep Learning (Bayesian)
Sebastian Ober · Laurence Aitchison
[ Paper ]
Spotlight
Tue Jul 20 10:40 PM -- 10:45 PM (KST)
Bayesian Deep Learning via Subnetwork Inference
In Deep Learning (Bayesian)
Erik Daxberger · Eric Nalisnick · James Allingham · Javier Antorán · Jose Miguel Hernandez-Lobato
[ Paper ]
Spotlight
Tue Jul 20 10:45 PM -- 10:50 PM (KST)
Generative Particle Variational Inference via Estimation of Functional Gradients
In Deep Learning (Bayesian)
Neale Ratzlaff · Jerry Bai · Fuxin Li · Wei Xu
[ Paper ]
Q&A
Tue Jul 20 10:50 PM -- 10:55 PM (KST)
Q&A
In Deep Learning (Bayesian)