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Workshop
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Sat 8:00
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Q&A Causal and graphical models for continuous-time event data
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Poster
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Tue 14:00
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Independence Testing for Bounded Degree Bayesian Networks
Arnab Bhattacharyya · Clément L Canonne · Qiping Yang
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Workshop
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Sat 7:35
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Causal and graphical models for continuous-time event data
Vanessa Didelez
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Poster
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Thu 9:00
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Structured Recognition for Generative Models with Explaining Away
Changmin Yu · Hugo Soulat · Neil Burgess · Maneesh Sahani
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Workshop
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Graphical Models are All You Need: Per-interaction reconstruction uncertainties in a dark matter detection experiment
Christina Peters · Aaron Higuera · Shixiao Liang · Waheed Bajwa · Christopher Tunnell
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Poster
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Wed 14:00
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Foundation Posteriors for Approximate Probabilistic Inference
Mike Wu · Noah Goodman
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Poster
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Wed 14:00
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Online Reinforcement Learning for Mixed Policy Scopes
Junzhe Zhang · Elias Bareinboim
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Poster
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Tue 14:00
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Causal Inference with Non-IID Data using Linear Graphical Models
Chi Zhang · Karthika Mohan · Judea Pearl
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Poster
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Tue 9:00
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NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li · Xujie Si
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Poster
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Wed 14:00
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Hedging as Reward Augmentation in Probabilistic Graphical Models
Debarun Bhattacharjya · Radu Marinescu
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Poster
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Tue 9:00
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A Probabilistic Graph Coupling View of Dimension Reduction
Hugues Van Assel · Thibault Espinasse · Julien Chiquet · Franck Picard
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Poster
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Wed 14:00
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Learning the Structure of Large Networked Systems Obeying Conservation Laws
Anirudh Rayas · Rajasekhar Anguluri · Gautam Dasarathy
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