23 citations · 68 across the 17 of their papers we have counts for
17 papers
EmbeddGAN: A Novel GAN Framework Using an Embedding Network and Gini Distance Correlation
MaTais Caldwell, Yixin Chen, Xin Dang +1
Generative Adversarial Networks (GANs) have demonstrated strong performance in generating high-quality synthetic data. However, they are limited by no formal guarantees regarding c…
Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation
Yongli Sang, Xin Dang
Gini distance correlation (GDC) was recently proposed to measure the dependence between a categorical variable, Y, and a numerical random vector, X. It mutually characterizes indep…
Asymptotic Normality of Gini Correlation in High Dimension with Applications to the K-sample Problem
Yongli Sang, Xin Dang
The categorical Gini correlation proposed by Dang et al. is a dependence measure to characterize independence between categorical and numerical variables. The asymptotic distributi…
Unadjusted Langevin algorithm for non-convex weakly smooth potentials
Dao Nguyen, Xin Dang, Yixin Chen
Discretization of continuous-time diffusion processes is a widely recognized method for sampling. However, the canonical Euler Maruyama discretization of the Langevin diffusion pro…
Black-box sampling for weakly smooth Langevin Monte Carlo using p-generalized Gaussian smoothing
Anh Duc Doan, Xin Dang, Dao Nguyen
Discretization of continuous-time diffusion processes is a widely recognized method for sampling. However, the canonical Euler-Maruyama discretization of the Langevin diffusion pro…
Empirical Likelihood Test for Diagonal Symmetry
Yongli Sang, Xin Dang
Energy distance is a statistical distance between the distributions of random variables, which characterizes the equality of the distributions. Utilizing the energy distance, we de…