Search Results for author:
Found 2 papers, 2 papers with code
Learning Large Causal Structures from Inverse Covariance Matrix via Sparse Matrix Decomposition
In the context of linear structural equation models (SEMs), this paper focuses on learning causal structures from the inverse covariance matrix.
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
One of the popular methods is Counterfactual Explanation (CE), also known as Actionable Recourse, which provides a user with a perturbation vector of features that alters the prediction result.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
