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Oral
Wed Jun 12 08:00 AM -- 08:20 AM (KST) @ Room 101
Dirichlet Simplex Nest and Geometric Inference
Oral
Wed Jun 12 08:20 AM -- 08:25 AM (KST) @ Room 101
Bayesian leave-one-out cross-validation for large data
Oral
Wed Jun 12 08:25 AM -- 08:30 AM (KST) @ Room 101
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Oral
Wed Jun 12 08:30 AM -- 08:35 AM (KST) @ Room 101
Neurally-Guided Structure Inference
Oral
Wed Jun 12 08:35 AM -- 08:40 AM (KST) @ Room 101
Bayesian Joint Spike-and-Slab Graphical Lasso
Oral
Wed Jun 12 08:40 AM -- 09:00 AM (KST) @ Room 101
Rotation Invariant Householder Parameterization for Bayesian PCA
Oral
Wed Jun 12 09:00 AM -- 09:05 AM (KST) @ Room 101
A Framework for Bayesian Optimization in Embedded Subspaces
Oral
Wed Jun 12 09:05 AM -- 09:10 AM (KST) @ Room 101
Convolutional Poisson Gamma Belief Network
Oral
Wed Jun 12 09:10 AM -- 09:15 AM (KST) @ Room 101
Automatic Posterior Transformation for Likelihood-Free Inference
Oral
Wed Jun 12 09:15 AM -- 09:20 AM (KST) @ Room 101
Active Learning for Decision-Making from Imbalanced Observational Data
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