23 citations · 68 across the 17 of their papers we have counts for
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cs.LG2026
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…
cs.LG2019★ 23 cited
Estimating Feature-Label Dependence Using Gini Distance Statistics
Silu Zhang, Xin Dang, Dao Nguyen +2
Identifying statistical dependence between the features and the label is a fundamental problem in supervised learning. This paper presents a framework for estimating dependence bet…