We study contextual stochastic optimization problems, where we leverage rich auxiliary
observations (eg, product characteristics) to improve decision making with uncertain …

The identification of choice models is crucial for understanding consumer behavior,
designing marketing policies, and developing new products. The identification of parametric …

In this paper, we establish a polynomial equivalence between tree ensemble optimization
and optimization of multilinear functions over the Cartesian product of simplices. We use this …

In this paper, we explore the challenge of assortment planning in the context of quick-
commerce, a rapidly-growing business model that aims to deliver time-sensitive products. In …

Bundle promotions have become increasingly popular among online retailers due to their
potential in increasing revenue and profit. They take various forms depending on how …

Problem definition: Empirical studies in the field of apparel retail have shown that a
considerable number of customers tend to explore adjacent sizes when their best-fit size is …

We study an off-policy contextual pricing problem where the seller has access to samples of
prices that customers were previously offered, whether they purchased at that price, and …

Sustainable operations has transformed in the past decade, as interest from consumers,
companies and regulators has increased. There has been a growing excitement and …

Abstract Machine learning has become core to forecasting and planning. However, when
decision makers are provided with trained and more complex machine learning models …

Modeling consumer choice plays a central role in modern business operations and demand
prediction. Precedented approaches assume consumers are rational, ie, assume that …