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Anne Tuulikki Juuti

2 accepted papers

2023

Causal Modeling of Policy Interventions From Treatment–Outcome Sequences

ICML 2023poster

A *treatment policy* defines when and what treatments are applied to affect some outcome of interest. Data-driven decision-making requires the ability to predict *what happens if a policy is changed*. Existing methods that predict how the outcome evolves under different scenarios assume that the ten…

Cited by 8SourcePDFScholar
2023

Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions

NeurIPS 2023poster

Deciding on an appropriate intervention requires a causal model of a treatment, the outcome, and potential mediators. Causal mediation analysis lets us distinguish between direct and indirect effects of the intervention, but has mostly been studied in a static setting. In healthcare, data come in th…

Cited by 3SourcePDFScholar