2 papers
math.ST2026
Accelerated Schrödinger-Föllmer samplers
Haotian Lin, Xiaojie Wang, Xiaoyan Zhang
Sampling is a fundamental algorithmic task in wide-ranging applications across multiple disciplines such as scientific computing, statistics and machine learning. In this paper, an…
cs.CR2026
Noise Reduction for Pufferfish Privacy: A Practical Noise Calibration Method
Wenjin Yang, Ni Ding, Zijian Zhang +8
This paper introduces a relaxed noise calibration method to enhance data utility while attaining pufferfish privacy. This work builds on the existing -Wasserstein (Kantorovich)…