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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 10:00 PM -- 10:20 PM (KST)
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
In Bayesian Learning 1
Adam Foster · Desi Ivanova · ILYAS MALIK · Tom Rainforth
[ Paper ]
Spotlight
Thu Jul 22 10:20 PM -- 10:25 PM (KST)
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design
In Bayesian Learning 1
Gustavo Malkomes · Bolong Cheng · Eric Lee · Michael McCourt
[ Paper ]
Spotlight
Thu Jul 22 10:25 PM -- 10:30 PM (KST)
Finite mixture models do not reliably learn the number of components
In Bayesian Learning 1
Diana Cai · Trevor Campbell · Tamara Broderick
[ Paper ]
Spotlight
Thu Jul 22 10:30 PM -- 10:35 PM (KST)
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo
In Bayesian Learning 1
James Brofos · Roy Lederman
[ Paper ]
Spotlight
Thu Jul 22 10:35 PM -- 10:40 PM (KST)
Streaming Bayesian Deep Tensor Factorization
In Bayesian Learning 1
Shikai Fang · Zheng Wang · Zhimeng Pan · Ji Liu · Shandian Zhe
[ Paper ]
Spotlight
Thu Jul 22 10:40 PM -- 10:45 PM (KST)
Active Learning of Continuous-time Bayesian Networks through Interventions
In Bayesian Learning 1
Dominik Linzner · Heinz Koeppl
[ Paper ]
Spotlight
Thu Jul 22 10:45 PM -- 10:50 PM (KST)
Bayesian Attention Belief Networks
In Bayesian Learning 1
Shujian Zhang · Xinjie Fan · Bo Chen · Mingyuan Zhou
[ Paper ]
Q&A
Thu Jul 22 10:50 PM -- 10:55 PM (KST)
Q&A
In Bayesian Learning 1