4 papers · 1 filter
Compositional Probabilistic and Causal Inference using Tractable Circuit Models
Benjie Wang, Marta Kwiatkowska
Probabilistic circuits (PCs) are a class of tractable probabilistic models, which admit efficient inference routines depending on their structural properties. In this paper, we int…
Bayesian Network Models of Causal Interventions in Healthcare Decision Making: Literature Review and Software Evaluation
Artem Velikzhanin, Benjie Wang, Marta Kwiatkowska
This report summarises the outcomes of a systematic literature search to identify Bayesian network models used to support decision making in healthcare. After describing the search…
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits
Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska
In many domains, worst-case guarantees on the performance (e.g., prediction accuracy) of a decision function subject to distributional shifts and uncertainty about the environment…
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions
Benjie Wang, Clare Lyle, Marta Kwiatkowska
Robustness of decision rules to shifts in the data-generating process is crucial to the successful deployment of decision-making systems. Such shifts can be viewed as interventions…