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Oral
Tue Jun 11 04:00 PM -- 04:20 PM (PDT) @ Room 101
Dirichlet Simplex Nest and Geometric Inference
Oral
Tue Jun 11 04:20 PM -- 04:25 PM (PDT) @ Room 101
Bayesian leave-one-out cross-validation for large data
Oral
Tue Jun 11 04:25 PM -- 04:30 PM (PDT) @ Room 101
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Oral
Tue Jun 11 04:30 PM -- 04:35 PM (PDT) @ Room 101
Neurally-Guided Structure Inference
Oral
Tue Jun 11 04:35 PM -- 04:40 PM (PDT) @ Room 101
Bayesian Joint Spike-and-Slab Graphical Lasso
Oral
Tue Jun 11 04:40 PM -- 05:00 PM (PDT) @ Room 101
Rotation Invariant Householder Parameterization for Bayesian PCA
Oral
Tue Jun 11 05:00 PM -- 05:05 PM (PDT) @ Room 101
A Framework for Bayesian Optimization in Embedded Subspaces
Oral
Tue Jun 11 05:05 PM -- 05:10 PM (PDT) @ Room 101
Convolutional Poisson Gamma Belief Network
Oral
Tue Jun 11 05:10 PM -- 05:15 PM (PDT) @ Room 101
Automatic Posterior Transformation for Likelihood-Free Inference
Oral
Tue Jun 11 05:15 PM -- 05:20 PM (PDT) @ Room 101
Active Learning for Decision-Making from Imbalanced Observational Data