Historically, much of machine learning research has focused on the
perfo...
For traffic routing platforms, the choice of which route to recommend to...
We consider the classic online learning and stochastic multi-armed bandi...
A central goal in algorithmic game theory is to analyze the performance ...
We study a dynamic traffic assignment model, where agents base their
ins...
We consider the following variant of contextual linear bandits motivated...
A two-sided market consists of two sets of agents, each of whom have
pre...
We study cost-sharing games in real-time scheduling systems where the
ac...
Motivated by the emergence of popular service-based two-sided markets wh...
Recent years have witnessed the rise of many successful e-commerce
marke...