Individual treatment effect models allow optimizing decision-making by predicting the effect
of a treatment on an outcome of interest for individual instances. These predictions allow …

In the majority of executive domains, a notion of normality is involved in most strategic
decisions. However, few data-driven tools that support strategic decision-making are …

Causal classification models are adopted across a variety of operational business
processes to predict the effect of a treatment on a categorical business outcome of interest …

We introduce a new multi-armed bandit model where the reward is a sum of multiple random
variables, and each action only alters the distributions of some of these variables. Upon …

Recent developments in causal machine learning open perspectives for new approaches
that support decision-making in healthcare processes using causal models. In particular …

Al querer estudiar o estimar el efecto causal de una política en cierta variable de interés, el
ideal sería comparar el mismo individuo con y sin tratamiento, lo cual, en la práctica resulta …