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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
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
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
Objective Bound Conditional Gaussian Process for Bayesian Optimization
In Bayesian Learning 2
Taewon Jeong · Heeyoung Kim
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
Automatic variational inference with cascading flows
In Bayesian Learning 2
Luca Ambrogioni · Gianluigi Silvestri · Marcel van Gerven
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning
In Bayesian Learning 2
Yonghan Jung · Jin Tian · Elias Bareinboim
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
Bias-Free Scalable Gaussian Processes via Randomized Truncations
In Bayesian Learning 2
Andres Potapczynski · Luhuan Wu · Dan Biderman · Geoff Pleiss · John Cunningham
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
In Bayesian Learning 2
Yu Wang · Alfred Hero
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
Black-box density function estimation using recursive partitioning
In Bayesian Learning 2
Erik Bodin · Zhenwen Dai · Neill Campbell · Carl Henrik Ek
[ Paper ]
Q&A
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Bayesian Learning 2