Massive surges of enrollments in courses have led to a crisis in several...
Motivated by applications such as machine repair, project monitoring, an...
Preventing poaching through ranger patrols protects endangered wildlife,...
Many online platforms today (such as Amazon, Netflix, Spotify, LinkedIn,...
We introduce Robust Restless Bandits, a challenging generalization of
re...
In many public health settings, it is important for patients to adhere t...
Restless Multi-Armed Bandits (RMABs) have been popularly used to model
l...
Matching algorithms have been classically studied with the goal of findi...
In this paper, we study the problem of fair classification in the presen...
With the increasing spread of COVID-19, it is important to systematicall...
We investigate the problem of fair recommendation in the context of two-...
In critical decision-making scenarios, optimizing accuracy can lead to a...
We consider the problem of fairly allocating indivisible goods, among ag...
We study the problem of allocating indivisible goods among n agents in a...