7 citations · 7 across the 2 of their papers we have counts for
5 papers
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation
Emma R. Cobian, Jonathan D. Hauenstein, Fang Liu +1
Approximating probability distributions can be a challenging task, particularly when they are supported over regions of high geometrical complexity or exhibit multiple modes. Annea…
A Statistical Overview on Data Privacy
Fang Liu
The eruption of big data with the increasing collection and processing of vast volumes and variety of data have led to breakthrough discoveries and innovation in science, engineeri…
Construction of Differentially Private Empirical Distributions from a low-order Marginals Set through Solving Linear Equations with l2 Regularization
Evercita C. Eugenio, Fang Liu
We introduce a new algorithm, Construction of dIfferentially Private Empirical Distributions from a low-order marginals set tHrough solving linear Equations with l2 Regularization…
Bayesian Hierarchical Spatial Model for Small Area Estimation with Non-ignorable Nonresponses and Its Applications to the NHANES Dental Caries Assessments
Ick Hoon Jin, Fang Liu, Evercita C. Eugenio +2
The National Health and Nutrition Examination Survey (NHANES) is a major program of the National Center for Health Statistics, designed to assess the health and nutritional status…
Differentially Private Data Release via Statistical Election to Partition Sequentially
Claire McKay Bowen, Fang Liu, Binyue Su
Differential Privacy (DP) formalizes privacy in mathematical terms and provides a robust concept for privacy protection. DIfferentially Private Data Synthesis (DIPS) techniques pro…