JSTOR Daily

Maximization of Nonconcave Utility Functions in Discrete-Time Financial Market Models

Mathematics of Operations Research, Vol. 41, No. 1 (February 2016), pp. 146-173 (28 pages) This paper investigates the problem of maximizing expected terminal utility in a (generically incomplete) ...
IEEE

On Random Seeding for Influence Maximization in Differentially Private Graphs: Balancing Privacy and Utility using Percolation Theory

Abstract: Influence maximization in social networks is a fundamental problem in network science with applications in viral marketing, information diffusion, and opinion formation. However, privacy ...
Investopedia

Understanding Demand vs. Utility Functions in Economics

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Robert Kelly is managing director of XTS ...
IEEE

PrivIM: Differentially Private Graph Neural Networks for Influence Maximization

Abstract: Influence Maximization (IM), aiming to identify a small set of highly influential nodes in social networks, is a critical problem in graph analysis. Recently, Graph Neural Networks (GNNs) ...