Revenue management (RM) is the application of analytical methodologies and tools that
predict consumer behavior and optimize product availability and prices to maximize a firm's …

We consider a sequential subset selection problem under parameter uncertainty, where at
each time step, the decision maker selects a subset of cardinality $ K $ from $ N $ possible …

Nonprofit crowdsourcing platforms such as food recovery organizations rely on volunteers to
perform time-sensitive tasks. Thus, their success crucially depends on efficient volunteer …

Problem definition: We study personalized product recommendations on platforms when
customers have unknown preferences. Importantly, customers may disengage when offered …

We study the problem of best-item identification from choice-based feedback. In this
problem, a company sequentially and adaptively shows display sets to a population of …

We study the problems of offline and online contextual optimization with feedback
information, where instead of observing the loss, we observe, after the fact, the optimal …

While preference modelling is becoming one of the pillars of machine learning, the problem
of preference explanation remains challenging and underexplored. In this paper, we …

Purpose The elderly service industry is emerging in China. The Chinese government
introduced a series of policies to guide elderly service enterprises to improve their service …

We consider a preference learning setting where every participant chooses an ordered list of
$ k $ most preferred items among a displayed set of candidates.(The set can be different for …

This paper considers the problem of online clustering with bandit feedback. A set of arms (or
items) can be partitioned into various groups that are unknown. Within each group, the …