Statistical Inference for Adversarial Training: Central Limit Theorems via Optimal Transport
The purpose of this paper is to rigorously quantify the statistical and learning-theoretic properties of adversarial training models for classification. Equivalently, we establish the statistical properties of empirical optimal partial transport. Precisely, first we provide two types of central limit theorems (CLT): CL...
Kim Jakwang, Kwon Dohyun
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