Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$-Divergences

Sreejith Sreekumar, Zhengxin Zhang, Ziv Goldfeld

Statistical distances (SDs), which quantify the dissimilarity between probability distributions, are central to machine learning and statistics. A modern method for estimating such…