5 papers
The Minimal Search Space for Conditional Causal Bandits
Francisco N. F. Q. Simoes, Itai Feigenbaum, Mehdi Dastani +1
Causal knowledge can be used to support decision-making problems. This has been recognized in the causal bandits literature, where a causal (multi-armed) bandit is characterized by…
Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams
Thijs van Ommen
For causal discovery in the presence of latent confounders, constraints beyond conditional independences exist that can enable causal discovery algorithms to distinguish more pairs…
Fundamental Properties of Causal Entropy and Information Gain
Francisco N. F. Q. Simoes, Mehdi Dastani, Thijs van Ommen
Recent developments enable the quantification of causal control given a structural causal model (SCM). This has been accomplished by introducing quantities which encode changes in…
The risks of risk assessment: causal blind spots when using prediction models for treatment decisions
Nan van Geloven, Ruth H Keogh, Wouter van Amsterdam +12
Clinicians increasingly rely on prediction models to guide treatment choices. Most prediction models, however, are developed using observational data that include some patients who…
Risk-based decision making: estimands for sequential prediction under interventions
Kim Luijken, Paweł Morzywołek, Wouter van Amsterdam +14
Prediction models are used amongst others to inform medical decisions on interventions. Typically, individuals with high risks of adverse outcomes are advised to undergo an interve…