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The 2021 schedule is still incomplete
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Oral
Fri Jul 23 09:00 AM -- 09:20 AM (KST)
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
In Bayesian Learning 2
Arkopal Dutt · Andrey Lokhov · Marc Vuffray · Sidhant Misra
[ Paper ]
Spotlight
Fri Jul 23 09:20 AM -- 09:25 AM (KST)
Objective Bound Conditional Gaussian Process for Bayesian Optimization
In Bayesian Learning 2
Taewon Jeong · Heeyoung Kim
[ Paper ]
Spotlight
Fri Jul 23 09:25 AM -- 09:30 AM (KST)
Automatic variational inference with cascading flows
In Bayesian Learning 2
Luca Ambrogioni · Gianluigi Silvestri · Marcel van Gerven
[ Paper ]
Spotlight
Fri Jul 23 09:30 AM -- 09:35 AM (KST)
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning
In Bayesian Learning 2
Yonghan Jung · Jin Tian · Elias Bareinboim
[ Paper ]
Spotlight
Fri Jul 23 09:35 AM -- 09:40 AM (KST)
Bias-Free Scalable Gaussian Processes via Randomized Truncations
In Bayesian Learning 2
Andres Potapczynski · Luhuan Wu · Dan Biderman · Geoff Pleiss · John Cunningham
[ Paper ]
Spotlight
Fri Jul 23 09:40 AM -- 09:45 AM (KST)
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
In Bayesian Learning 2
Yu Wang · Alfred Hero
[ Paper ]
Spotlight
Fri Jul 23 09:45 AM -- 09:50 AM (KST)
Black-box density function estimation using recursive partitioning
In Bayesian Learning 2
Erik Bodin · Zhenwen Dai · Neill Campbell · Carl Henrik Ek
[ Paper ]
Q&A
Fri Jul 23 09:50 AM -- 09:55 AM (KST)
Q&A
In Bayesian Learning 2