In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

This paper studies the problem of expected loss minimization given a data distribution that is
dependent on the decision-maker's action and evolves dynamically in time according to a …

The emergence of team-assembly technologies has brought with it new challenges in
designing and implementing socio-technical systems. Our understanding of how systems …

Finding a set of suitable experts with minimized communication overhead to perform a
complex task finds a wide spectrum of applications in industry, education, and other …

In the classical selection problem, the input consists of a collection of elements and the goal
is to pick a subset of elements from the collection such that some objective function ƒ is …

We focus on the composition of teams of experts that collectively cover a set of required
skills based on their historical collaboration network and expertise. Prior works are primarily …

We study online task assignment problem with reusable resources, motivated by practical
applications such as ridesharing, crowdsourcing and job hiring. In the problem, we are given …

As freelancing work keeps on growing almost everywhere due to a sharp decrease in
communication costs and to the widespread of Internet-based labour marketplaces (eg …

We present PyTFL, a library written in Python for the team formation task. In team formation
task, the main objective is to form a team of experts given a set of skills. We demonstrate an …

We contribute OpeNTF, an open-source python-based benchmark library to support neural
team formation research. Team formation falls under social information retrieval (Social IR) …