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06/01/2023
Causal Imitability Under Context-Specific Independence Relations
Drawbacks of ignoring the causal mechanisms when performing imitation le...
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05/26/2023
Learning Causal Graphs via Monotone Triangular Transport Maps
We study the problem of causal structure learning from data using optima...
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08/09/2022
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect
Causal identification is at the core of the causal inference literature,...
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05/04/2022
Minimum Cost Intervention Design for Causal Effect Identification
Pearl's do calculus is a complete axiomatic approach to learn the identi...
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02/18/2022
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
Parameter estimation in the empirical fields is usually undertaken using...
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12/20/2021
Learning Bayesian Networks in the Presence of Structural Side Information
We study the problem of learning a Bayesian network (BN) of a set of var...
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10/22/2021
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
We consider the problem of learning the causal MAG of a system from obse...
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10/10/2020