Fair Causal Feature Selection

no code implementations • 17 Jun 2023 • Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu

Fair feature selection for classification decision tasks has recently garnered significant attention from researchers.

Fairness feature selection

Any Part of Bayesian Network Structure Learning

no code implementations • 23 Mar 2021 • Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li

We study an interesting and challenging problem, learning any part of a Bayesian network (BN) structure.

feature selection

Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning

1 code implementation • 11 Mar 2021 • Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li

Causal Learner is a toolbox for learning causal structure and Markov blanket (MB) from data.

Causality-based Feature Selection: Methods and Evaluations

1 code implementation • 17 Nov 2019 • Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu

It has been shown that the knowledge about the causal relationships between features and the class variable has potential benefits for building interpretable and robust prediction models, since causal relationships imply the underlying mechanism of a system.

feature selection