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Found 4 papers, 3 papers with code
Constraint-Free Structure Learning with Smooth Acyclic Orientations
The structure learning problem consists of fitting data generated by a Directed Acyclic Graph (DAG) to correctly reconstruct its arcs.
The Importance of Time in Causal Algorithmic Recourse
The application of Algorithmic Recourse in decision-making is a promising field that offers practical solutions to reverse unfavorable decisions.
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery
However, typically, the variables of a dataset depend on one another, and these dependencies are not considered in data generation leading to the creation of implausible records.
Causality-Aware Local Interpretable Model-Agnostic Explanations
A main drawback of eXplainable Artificial Intelligence (XAI) approaches is the feature independence assumption, hindering the study of potential variable dependencies.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
