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Poster
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Tue 15:30
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Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
Heejong Bong · Alessandro Rinaldo
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Poster
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Wed 15:30
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Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Tom Blau · Edwin V Bonilla · Iadine Chades · Amir Dezfouli
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Poster
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Tue 15:30
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Uncertainty Modeling in Generative Compressed Sensing
Yilang Zhang · Mengchu Xu · Xiaojun Mao · Jian Wang
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Spotlight
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Thu 7:50
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A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
Lu Bai · Lixin Cui · Edwin Hancock
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Spotlight
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Tue 13:30
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Uncertainty Modeling in Generative Compressed Sensing
Yilang Zhang · Mengchu Xu · Xiaojun Mao · Jian Wang
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Spotlight
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Wed 14:00
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Scalable Computation of Causal Bounds
Madhumitha Shridharan · Garud Iyengar
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Poster
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Thu 15:00
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A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
Lu Bai · Lixin Cui · Edwin Hancock
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Poster
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Wed 15:30
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Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman Liang · Michael Mahoney · Liam Hodgkinson
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Spotlight
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Wed 8:00
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Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman Liang · Michael Mahoney · Liam Hodgkinson
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Poster
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Tue 15:30
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Algorithms for the Communication of Samples
Lucas Theis · Nour Ahmed
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Poster
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Wed 15:30
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Variational Sparse Coding with Learned Thresholding
Kion Fallah · Christopher Rozell
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Poster
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Wed 15:30
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Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke
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