Research in operations management has traditionally focused on models for understanding,
mostly at a strategic level, how firms should operate. Spurred by the growing availability of …

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 seller who can dynamically adjust the price of a product at the individual
customer level, by utilizing information about customers' characteristics encoded as ad …

DEVELOPING COMPETITION LAW FOR COLLUSION BY AUTONOMOUS ARTIFICIAL
AGENTS† | Journal of Competition Law & Economics | Oxford Academic Skip to Main Content …

The contextual bandit literature has traditionally focused on algorithms that address the
exploration–exploitation tradeoff. In particular, greedy algorithms that exploit current …

The prevalence of e-commerce has made customers' detailed personal information readily
accessible to retailers, and this information has been widely used in pricing decisions. When …

We study the problem of learning shared structure across a sequence of dynamic pricing
experiments for related products. We consider a practical formulation in which the unknown …

We consider a logit model-based framework for modeling joint pricing and assortment
decisions that take into account customer features. This model provides a significant …

Increased availability of high-quality customer information has fueled interest in
personalized pricing strategies, that is, strategies that predict an individual customer's …

Motivated by pricing in ad exchange markets, we consider the problem of robust learning of
reserve prices against strategic buyers in repeated contextual second-price auctions …