Statistical Decision Theory

TL;DR: The authors unify f-divergences, Bregret bounds, proper scoring rules, matching losses, cost curves, ROC-curves and information, and derive a new derivation of Support Vector Machines in terms of divergences and relate Maximum Mean Discrepancy to Fisher Linear Discriminants.

TL;DR: In this paper, the authors proposed a distribution-preserving lossy compression method to optimize the rate-distortion tradeoff under the constraint that the reconstructed samples follow the distribution of the training data.

TL;DR: The high dropout rate of MOOC has had a serious negative impact on the quality of education in India and the country's education system.

TL;DR: This paper deals with four types of point estimators based on minimization of information-theoretic divergences between hypothetical and empirical distributions and studies and compares general properties of these estimators such as consistency and influence curves.