Sreejith Sreekumar

Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences

Statistical distances (SDs), which quantify the dissimilarity between probability distributions, are central to machine learning and statistics. A modern method for estimating such distances from data relies on parametrizing a variational form by a neural network (NN) and optimizing it. These estima…