2 papers
cs.LG2026
Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning
Xinyan Han, Yan Lu, Xiaoyu Lin +5
Tabular data synthesis aims to generate high-quality data while preserving privacy. However, we find that existing tabular generative models exhibit a clear tradeoff in the small-d…
cs.LG2025
Sample Weight Averaging for Stable Prediction
Han Yu, Yue He, Renzhe Xu +4
The challenge of Out-of-Distribution (OOD) generalization poses a foundational concern for the application of machine learning algorithms to risk-sensitive areas. Inspired by tradi…