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06/04/2022
Active Bayesian Causal Inference
Causal discovery and causal reasoning are classically treated as separat...
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06/03/2022
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
Learning causal structures from observation and experimentation is a cen...
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05/25/2022
Amortized Inference for Causal Structure Learning
Learning causal structure poses a combinatorial search problem that typi...
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06/30/2021
Group Testing under Superspreading Dynamics
Testing is recommended for all close contacts of confirmed COVID-19 pati...
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05/25/2021
DiBS: Differentiable Bayesian Structure Learning
Bayesian structure learning allows inferring Bayesian network structure ...
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10/21/2020
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
Domains where supervised models are deployed often come with task-specif...
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04/15/2020
A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment
We introduce a novel modeling framework for studying epidemics that is s...
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05/15/2019
Output-Constrained Bayesian Neural Networks
Bayesian neural network (BNN) priors are defined in parameter space, mak...
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10/30/2018