3 papers
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…
stat.ML2024
Convergence of Continuous Normalizing Flows for Learning Probability Distributions
Yuan Gao, Jian Huang, Yuling Jiao +1
Continuous normalizing flows (CNFs) are a generative method for learning probability distributions, which is based on ordinary differential equations. This method has shown remarka…
stat.ML2023
Gaussian Interpolation Flows
Yuan Gao, Jian Huang, Yuling Jiao
Gaussian denoising has emerged as a powerful method for constructing simulation-free continuous normalizing flows for generative modeling. Despite their empirical successes, theore…