In this essay I discuss potential outcome and graphical approaches to causality, and their
relevance for empirical work in economics. I review some of the work on directed acyclic …

Abstract 3D visual grounding aims to localize 3D objects described by free-form language
sentences. Following the detection-then-matching paradigm existing methods mainly focus …

The global health burden associated with exposure to heat is a grave concern and is
projected to further increase under climate change. While physiological studies have …

Evaluators are interested in capturing how things causally influence one another. They are
also interested in capturing how stakeholders think things causally influence one another …

It is often assumed in explainable AI (XAI) literature that explaining AI predictions will
enhance trust of users. To bridge this research gap, we explored trust in XAI on public …

In this paper, we investigate transfer learning in partially observable contextual bandits,
where agents have limited knowledge from other agents and partial information about …

The social complexity hypothesis argues that communicative complexity arises as a result of
social complexity, with this occurring through several potential mechanisms including …

This study investigates the causal relationship between terrorist violence during the Years of
Lead and the decline in voter turnout in Italian political elections. The analysis, which covers …

The fundus images, a retina photograph, are a potential biomarker mapping to the patient
attributes like age, gender, and type-2 diabetes. However, the relationships between the …

The contextual bandit problem is a theoretically justified framework with wide applications in
various fields. While the previous study on this problem usually requires independence …