3 papers
cs.LG2025
Score-based Generative Modeling for Conditional Independence Testing
Yixin Ren, Chenghou Jin, Yewei Xia +6
Determining conditional independence (CI) relationships between random variables is a fundamental yet challenging task in machine learning and statistics, especially in high-dimens…
cs.LG2024
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity
Yixin Ren, Haocheng Zhang, Yewei Xia +3
Score-based causal discovery methods can effectively identify causal relationships by evaluating candidate graphs and selecting the one with the highest score. One popular class of…
cs.CR2023
Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings
Yuxi Mi, Hongquan Liu, Yewei Xia +3
The emergence of vertical federated learning (VFL) has stimulated concerns about the imperfection in privacy protection, as shared feature embeddings may reveal sensitive informati…