3 papers
math.ST2026
Privacy Guarantees in Posterior Sampling under Contamination
Shenggang Hu, Louis Aslett, Hongsheng Dai +2
In recent years, differential privacy has been adopted by tech-companies and governmental agencies as the standard for measuring privacy in algorithms. In this article, we study di…
math.NA2025
Almost sure convergence rates of adaptive increasingly rare Markov chain Monte Carlo
Julian Hofstadler, Krzysztof Latuszynski, Gareth O. Roberts +1
We consider adaptive increasingly rare Markov chain Monte Carlo (MCMC) algorithms, which are adaptive MCMC methods, where the adaptation concerning the "past'' happens less and les…
stat.CO2025
Statistical Disaggregation -- a Monte Carlo Approach for Imputation under Constraints
Shenggang Hu, Hongsheng Dai, Fanlin Meng +3
Equality-constrained models naturally arise in problems in which measurements are taken at different levels of resolution. The challenge in this setting is that the models usually…