3 papers
math.OC2026
Sampling and Optimization meet Enhanced Flows
Yuan Gao, Siming He, Eitan Tadmor
It is well known that the computational realization of Gibbs probability measures, , plays a central role in sampling and optimization. In this paper…
stat.ML2026
Semi-Supervised Conditional Diffusion via Label Augmentation
Jin Su, Yuan Gao, Yong Zhou +1
Conditional diffusion models have become a powerful and flexible framework for learning complex conditional distributions from labeled data. In practice, however, acquiring high-qu…
stat.ML2025
From Conditional to Unconditional Independence: Testing Conditional Independence via Transport Maps
Chenxuan He, Yuan Gao, Liping Zhu +1
Testing conditional independence between two random vectors given a third is a fundamental and challenging problem in statistics, particularly in multivariate nonparametric setting…