3 papers
Offline Policy Evaluation as a decision support tool for designing Adaptive Experiments
João Victor Ferreira Alves, Eduardo Rocha Laurentino, Gustavo de Oliveira Kanno +1
We investigate how historical data from fixed randomized experiments (A/B tests) can be used to inform the deployment of adaptive experiments based on contextual bandits. Given dat…
Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models
João P. Arroyo, João G. Rodrigues, Daniel Lawand +6
We investigate partially identifiable queries in a class of causal models. We focus on acyclic Structural Causal Models that are quasi-Markovian (that is, each endogenous variable…
Probabilities of Causation and Root Cause Analysis with Quasi-Markovian Models
Eduardo Rocha Laurentino, Fabio Gagliardi Cozman, Denis Deratani Maua +3
Probabilities of causation provide principled ways to assess causal relationships but face computational challenges due to partial identifiability and latent confounding. This pape…