3 papers
cs.CR2026
Preserving Data Privacy in Learning Causal Structure with Fully Homomorphic Encryption
Jian Yang, Yuan Tong, Qinbin Li +2
Preserving data privacy is an important topic in structural data management and data mining. However, the issue of privacy leakage in distributed causal structure learning is a per…
cs.LG2024
Fast-PGM: Fast Probabilistic Graphical Model Learning and Inference
Jiantong Jiang, Zeyi Wen, Peiyu Yang +2
Probabilistic graphical models (PGMs) serve as a powerful framework for modeling complex systems with uncertainty and extracting valuable insights from data. However, users face ch…
cs.LG2023
Interpretable Traffic Event Analysis with Bayesian Networks
Tong Yuan, Jian Yang, Zeyi Wen
Although existing machine learning-based methods for traffic accident analysis can provide good quality results to downstream tasks, they lack interpretability which is crucial for…