Pragmatic Apparatus – Operationalizing Complex Causes: A Pragmatic View of Mediation

Cited by Lee Sonogan

Operationalizing Complex Causes:A Pragmatic View of Mediation: Paper and  Code - CatalyzeX

Abstract by Limor Gultchin, David S. Watson, Matt J. Kusner, Ricardo Silva

We examine the problem of causal response estimation for complex objects (e.g., text, images, genomics). In this setting, classical \emph{atomic} interventions are often not available (e.g., changes to characters, pixels, DNA base-pairs). Instead, we only have access to indirect or \emph{crude} interventions (e.g., enrolling in a writing program, modifying a scene, applying a gene therapy). In this work, we formalize this problem and provide an initial solution. Given a collection of candidate mediators, we propose (a) a two-step method for predicting the causal responses of crude interventions; and (b) a testing procedure to identify mediators of crude interventions. We demonstrate, on a range of simulated and real-world-inspired examples, that our approach allows us to efficiently estimate the effect of crude interventions with limited data from new treatment regimes.

Publication: Cornell University (Peer-Reviewed Journal)

Pub Date: 9 Jun, 2021 Doi:

Keywords: Operationalizing Complexity, DNA Causes, Pragmatic View, Biological Mediation (Plenty more sections and references in this research)

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