10   Show all »
Toggle Poster Visibility
Oral
Tue Jun 11th 04:00 -- 04:20 PM @ Room 101
Dirichlet Simplex Nest and Geometric Inference
Mikhail Yurochkin · Aritra Guha · Yuekai Sun · XuanLong Nguyen
Oral
Tue Jun 11th 04:20 -- 04:25 PM @ Room 101
Bayesian leave-one-out cross-validation for large data
Måns Magnusson · Michael Andersen · Johan Jonasson · Aki Vehtari
Oral
Tue Jun 11th 04:25 -- 04:30 PM @ Room 101
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Runjing Liu · Jeffrey Regier · Nilesh Tripuraneni · Michael Jordan · Jon McAuliffe
Oral
Tue Jun 11th 04:30 -- 04:35 PM @ Room 101
Neurally-Guided Structure Inference
Sidi Lu · Jiayuan Mao · Josh Tenenbaum · Jiajun Wu
Oral
Tue Jun 11th 04:35 -- 04:40 PM @ Room 101
Bayesian Joint Spike-and-Slab Graphical Lasso
Zehang Li · Tyler Mccormick · Samuel Clark
Oral
Tue Jun 11th 04:40 -- 05:00 PM @ Room 101
Rotation Invariant Householder Parameterization for Bayesian PCA
Rajbir-Singh Nirwan · Nils Bertschinger
Oral
Tue Jun 11th 05:00 -- 05:05 PM @ Room 101
A Framework for Bayesian Optimization in Embedded Subspaces
Amin Nayebi · Alexander Munteanu · Matthias Poloczek
Oral
Tue Jun 11th 05:05 -- 05:10 PM @ Room 101
Convolutional Poisson Gamma Belief Network
CHAOJIE WANG · Bo Chen · SUCHENG XIAO · Mingyuan Zhou
Oral
Tue Jun 11th 05:10 -- 05:15 PM @ Room 101
Automatic Posterior Transformation for Likelihood-Free Inference
David Greenberg · Marcel Nonnenmacher · Jakob Macke
Oral
Tue Jun 11th 05:15 -- 05:20 PM @ Room 101
Active Learning for Decision-Making from Imbalanced Observational Data
Iiris Sundin · Peter Schulam · Eero Siivola · Aki Vehtari · Suchi Saria · Samuel Kaski