← Search

Johan de Aguas

2 accepted papers

2026

Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs

AAAI 2026technical

We introduce two families of stochastic interventions with discrete treatments that connect causal modeling to cost-sensitive decision making. The interventions arise from a cost-penalized information projection of the independent product of the organic propensity scores and a reference policy, yiel

Cited by 0SourcePDFScholar
2025

Causal Inference amid Missingness-Specific Independences and Mechanism Shifts

UAI 2025

The recovery of causal effects in structural models with missing data often relies on $m$-graphs, which assume that missingness mechanisms do not directly influence substantive variables. Yet, in many real-world settings, missing data can alter decision-making processes, as the absence of key inform

Cited by 0SourcePDFScholar