Abstract: Node selection is a critical issue in Edge Computing (EC), necessitating the identification of appropriate edge nodes for effective execution of tasks. This process entails maneuvering ...

Four algorithms are compared: Greedy, Epsilon-Greedy, Optimistic Greedy, and Gradient Bandit, evaluated over 1000 simulations with 2000 steps each. Performance metrics include average per-step reward ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Tom Clavin’s “Bandit Heaven” takes us down the “Outlaw Trail” with Butch Cassidy and the Sundance Kid. By Darrell Hartman Darrell Hartman is the author of “Battle of Ink and Ice: A Sensational Story ...

Abstract: This article examines an online distributed optimization problem over an unbalanced digraph, in which a group of nodes in the network tries to collectively search for a minimizer of a ...

[Python] 4 multi-armed bandit algorithms are implemented to determine which one can most effectively determine the best website configuration that maximise signups.