Experimental Design

Active Learning for Optimal Intervention Design in Causal Models
An important problem across disciplines is the discovery of interventions that produce a desired outcome. When the space of possible …
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Matching a Desired Causal State via Shift Interventions
Transforming a causal system from a given initial state to a desired target state is an important task permeating multiple fields …
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Active Structure Learning of Causal DAGs via Directed Clique Trees
A growing body of work has begun to study intervention design for efficient structure learning of causal directed acyclic graphs …
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ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
Determining the causal structure of a set of variables is critical for both scientific inquiry and decision-making. However, this is …
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