Motivated by centralized matching markets, we study an online stochastic matching problem
on edge-weighted graphs, where the agents' arrivals and abandonments are stochastic and …

Motivated by online labor markets, we consider the online assortment optimization problem
faced by a two-sided matching platform that hosts a set of suppliers waiting to match with a …

This study develops an algorithm to determine the pricing policy and matching rate for ride-
hailing platforms to maximize their profitability by considering:(a) drivers' decisions to accept …

Service platforms must determine rules for matching heterogeneous demand (customers)
and supply (workers) that arrive randomly over time and may be lost if forced to wait too long …

There are disparities in access to livers based on transplant patients' height, which
disproportionately affects Hispanics, Asians, and women (across all ethnicities), because …

We study the problem of learning, from observational data, fair and interpretable policies that
effectively match heterogeneous individuals to scarce resources of different types. We model …

We study centralized dynamic matching markets with finitely many agent types and
heterogeneous match values. A network topology describes the pairs of agent types that can …

We study the design of a decentralized two-sided matching market in which agents' search
is guided by the platform. Each agent is of one of finitely many types and has (potentially …

Motivated by growing applications in two-sided markets, we study a parallel matching queue
with reneging. Demand and supply units arrive to the system and are matched in an FCFS …

The service sector is an indisputable and fundamental pillar of today's business world,
encompassing nearly 80 percent of the workforce in the USA. Service operations …