The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Recommendation systems are widely used on the Internet to assist customers in finding the products or services that best fit with their individual preferences. While current imple...
Jochen Malinowski, Tobias Keim, Oliver Wendt, Tim ...
Matching problems are ubiquitous. They occur in economic markets, labor markets, internet advertising, and elsewhere. In this paper we focus on an application of matching for soci...
Gianmarco De Francisci Morales, Aristides Gionis, ...
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
— This paper investigates the problem of secret key transmissions for an arbitrary Alice-Bob pair in Quantum Key Distribution (QKD)-based networks. We develop a realistic QKDbase...