1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2026
On Inherent Privacy of Posterior Sampling: A Unified Rényi-Divergence Framework
Ruyu Zhou, Fang Liu
Differential Privacy (DP) provides a rigorous framework for quantifying privacy guarantees. While most methods achieve DP by injecting calibrated random noise, the intrinsic random…
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.CV2024★ 1 cited
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…