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Poster
Tue 14:00 The Base Measure Problem and its Solution
Alexey Radul · Boris Alexeev
Poster
Wed 12:45 A Change of Variables Method For Rectangular Matrix-Vector Products
Edmond Cunningham · Madalina Fiterau
Poster
Wed 6:00 Neural Enhanced Belief Propagation on Factor Graphs
Víctor Garcia Satorras · Max Welling
Poster
Wed 6:00 Graphical Normalizing Flows
Antoine Wehenkel · Gilles Louppe
Poster
Wed 12:45 Hyperbolic graph embedding with enhanced semi-implicit variational inference.
Ali Lotfi Rezaabad · Rahi Kalantari · Sriram Vishwanath · Mingyuan Zhou · Jonathan Tamir
Poster
Wed 6:00 Sequential Random Sampling Revisited: Hidden Shuffle Method
Michael Shekelyan · Graham Cormode
Poster
Wed 12:45 Meta-Learning Divergences for Variational Inference
Ruqi Zhang · Yingzhen Li · Christopher De Sa · Sam Devlin · Cheng Zhang
Poster
Thu 7:30 Context-Specific Likelihood Weighting
Nitesh Kumar · Ondřej Kuželka
Poster
Tue 14:00 Learning GPLVM with arbitrary kernels using the unscented transformation
Daniel Augusto de Souza · Diego Mesquita · João Paulo Gomes · César Lincoln Mattos
Poster
Tue 18:30 Sample efficient learning of image-based diagnostic classifiers via probabilistic labels
Roberto Vega · Pouneh Gorji · Zichen Zhang · Xuebin Qin · Abhilash Rakkunedeth · Jeevesh Kapur · Jacob Jaremko · Russell Greiner
Poster
Wed 6:00 A unified view of likelihood ratio and reparameterization gradients
Paavo Parmas · Masashi Sugiyama
Poster
Wed 6:00 Causal Autoregressive Flows
Ilyes Khemakhem · Ricardo Monti · Robert Leech · Aapo Hyvarinen