3 papers
stat.ME2025
PRECISE: PRivacy-loss-Efficient and Consistent Inference based on poSterior quantilEs
Ruyu Zhou, Fang Liu
Differential Privacy (DP) is a mathematical framework for releasing information with formal privacy guarantees. While numerous DP procedures have been developed for statistical ana…
cs.CV2025
Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor Search
Guangyu Meng, Ruyu Zhou, Liu Liu +5
Earth Mover's Distance (EMD) is an important similarity measure between two distributions, used in computer vision and many other application domains. However, its exact calculatio…
stat.ML2024
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)
Xingyuan Zhao, Ruyu Zhou, Fang Liu
Applying a randomized algorithm to a subset rather than the entire dataset amplifies privacy guarantees. We propose a class of subsampling methods ``MUltistage Sampling Technique (…