Multi-task Causal Learning with Gaussian Processes

1 code implementation • NeurIPS 2020 • Virginia Aglietti, Theodoros Damoulas, Mauricio Álvarez, Javier González

This paper studies the problem of learning the correlation structure of a set of intervention functions defined on the directed acyclic graph (DAG) of a causal model.

Active Learning Bayesian Optimization +2