2023
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets
AISTATS 2023poster
Large-scale online recommendation systems must facilitate the allocation of a limited number of items among competing users while learning their preferences from user feedback. As a principled way of incorporating market constraints and user incentives in the design, we consider our objectives to be…