3 papers
stat.ML2025
Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery
Xiaochen Zhang, Haoyi Xiong
This paper introduces a novel Knockoff-guided compressive sensing framework, referred to as \TheName{}, which enhances signal recovery by leveraging precise false discovery rate (F…
cs.LG2025
Interpretable Feature Interaction via Statistical Self-supervised Learning on Tabular Data
Xiaochen Zhang, Haoyi Xiong
In high-dimensional and high-stakes contexts, ensuring both rigorous statistical guarantees and interpretability in feature extraction from complex tabular data remains a formidabl…
stat.ML2025
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection
Xiaochen Zhang, Yunfeng Cai, Haoyi Xiong
Variable selection plays a crucial role in enhancing modeling effectiveness across diverse fields, addressing the challenges posed by high-dimensional datasets of correlated variab…