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Poster
Tue 17:30 The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
Amanda Gentzel · Dan Garant · David Jensen
Poster
Tue 10:45 Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
Daniel Kumor · Bryant Chen · Elias Bareinboim
Poster
Wed 10:45 Deep Generative Video Compression
Salvator Lombardo · JUN HAN · Christopher Schroers · Stephan Mandt
Poster
Tue 17:30 Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
Ruqi Zhang · Christopher De Sa
Poster
Wed 10:45 Discriminative Topic Modeling with Logistic LDA
Iryna Korshunova · Hanchen Xiong · Mateusz Fedoryszak · Lucas Theis
Poster
Wed 10:45 Learning Erdos-Renyi Random Graphs via Edge Detecting Queries
Zihan Li · Matthias Fresacher · Jonathan Scarlett
Poster
Tue 17:30 Variational Bayes under Model Misspecification
Yixin Wang · David Blei
Poster
Wed 10:45 An Adaptive Empirical Bayesian Method for Sparse Deep Learning
Wei Deng · Xiao Zhang · Faming Liang · Guang Lin
Poster
Wed 10:45 Constraint-based Causal Structure Learning with Consistent Separating Sets
Honghao Li · Vincent Cabeli · Nadir Sella · Herve Isambert
Poster
Wed 17:00 A New Distribution on the Simplex with Auto-Encoding Applications
Andrew Stirn · Tony Jebara · David Knowles
Poster
Tue 17:30 Co-Generation with GANs using AIS based HMC
Tiantian Fang · Alex Schwing
Poster
Wed 10:45 The continuous Bernoulli: fixing a pervasive error in variational autoencoders
Gabriel Loaiza-Ganem · John Cunningham