Workshop

Sat 8:00

Q&A Causal and graphical models for continuous-time event data

Poster

Tue 14:00

Independence Testing for Bounded Degree Bayesian Networks
Arnab Bhattacharyya · Clément L Canonne · Qiping Yang

Workshop

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

Poster

Thu 9:00

Structured Recognition for Generative Models with Explaining Away
Changmin Yu · Hugo Soulat · Neil Burgess · Maneesh Sahani

Workshop

Sat 7:35

Causal and graphical models for continuous-time event data
Vanessa Didelez

Poster

Wed 14:00

Online Reinforcement Learning for Mixed Policy Scopes
Junzhe Zhang · Elias Bareinboim

Poster

Wed 14:00

Foundation Posteriors for Approximate Probabilistic Inference
Mike Wu · Noah Goodman

Poster

Tue 14:00

Causal Inference with Non-IID Data using Linear Graphical Models
Chi Zhang · Karthika Mohan · Judea Pearl

Poster

Tue 9:00

NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li · Xujie Si

Poster

Wed 14:00

Hedging as Reward Augmentation in Probabilistic Graphical Models
Debarun Bhattacharjya · Radu Marinescu

Poster

Wed 14:00

Learning the Structure of Large Networked Systems Obeying Conservation Laws
Anirudh Rayas · Rajasekhar Anguluri · Gautam Dasarathy

Poster

Tue 9:00

A Probabilistic Graph Coupling View of Dimension Reduction
Hugues Van Assel · Thibault Espinasse · Julien Chiquet · Franck Picard