This paper considers the problem of transferring experimental findings learned from multiple
heterogeneous domains to a different environment, in which only passive observations can …

The study of transportability aims to identify conditions under which causal information
learned from experiments can be reused in a different environment where only passive …

This paper addresses the problem of $ mz $-transportability, that is, transferring causal
knowledge collected in several heterogeneous domains to a target domain in which only …

This paper considers the problem of transferring experimental findings learned from multiple
heterogeneous domains to a target environment, in which only limited experiments can be …

We address the problem of transferring information learned from experiments to a different
environment, in which only passive observations can be collected. We introduce a formal …

We address the problem of transferring causal knowledge learned in one environment to
another, potentially different environment, when only limited experiments may be conducted …

Generalizing empirical findings to new environments, settings, or populations is essential in
most scientific explorations. This article treats a particular problem of generalizability, called …

We provide a formal definition of the notion of “transportability,” or “external validity,” as a
license to transfer causal information from experimental studies to a different population in …

The process of transporting and synthesizing experimental findings from heterogeneous
data collections to construct causal explanations is arguably one of the most central and …

The do-calculus was developed in 1995 to facilitate the identification of causal effects in non-
parametric models. The completeness proofs of [Huang and Valtorta, 2006] and [Shpitser …