3 papers
stat.ML2025
High-Dimensional Dynamic Covariance Models with Random Forests
Shuguang Yu, Fan Zhou, Yingjie Zhang +2
This paper introduces a novel nonparametric method for estimating high-dimensional dynamic covariance matrices with multiple conditioning covariates, leveraging random forests and…
cs.LG2024
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph
Zhaoyang Zhang, Hongtu Zhu, Ziqi Chen +2
In this paper, we aim to address a significant challenge in the field of missing data imputation: identifying and leveraging the interdependencies among features to enhance missing…
cs.LG2024
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
Zhaoyang Zhang, Ziqi Chen, Qiao Liu +2
In this paper, we propose a novel framework, the Sampling-guided Heterogeneous Graph Neural Network (SHT-GNN), to effectively tackle the challenge of missing data imputation in lon…