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Poster
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Tue 17:30
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Identifying Causal Effects via Context-specific Independence Relations
Santtu Tikka · Antti Hyttinen · Juha Karvanen
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Workshop
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Sat 8:40
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Jan-Willem van de Meent - Compositional Methods for Learning and Inference in Deep Probabilistic Programs
Jan-Willem van de Meent
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Poster
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Wed 17:00
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Provable Gradient Variance Guarantees for Black-Box Variational Inference
Justin Domke
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Poster
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Wed 17:00
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Band-Limited Gaussian Processes: The Sinc Kernel
Felipe Tobar
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Poster
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Thu 10:45
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Meta Architecture Search
Albert Shaw · Wei Wei · Weiyang Liu · Le Song · Bo Dai
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Poster
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Tue 17:30
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Variational Bayesian Decision-making for Continuous Utilities
Tomasz Kuśmierczyk · Joseph Sakaya · Arto Klami
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Poster
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Tue 17:30
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The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
Amanda Gentzel · Dan Garant · David Jensen
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Poster
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Wed 10:45
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Deep Generative Video Compression
Salvator Lombardo · JUN HAN · Christopher Schroers · Stephan Mandt
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Poster
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Wed 17:00
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Streaming Bayesian Inference for Crowdsourced Classification
Edoardo Manino · Long Tran-Thanh · Nicholas Jennings
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Poster
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Tue 10:45
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Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
Daniel Kumor · Bryant Chen · Elias Bareinboim
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Poster
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Tue 10:45
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Identification of Conditional Causal Effects under Markov Equivalence
Amin Jaber · Jiji Zhang · Elias Bareinboim
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Poster
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Tue 17:30
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Triad Constraints for Learning Causal Structure of Latent Variables
Ruichu Cai · Feng Xie · Clark Glymour · Zhifeng Hao · Kun Zhang
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