Lei, Yanzhe; Miao, Sentao; Momot, Ruslan - 2020
This paper examines how data-driven personalized decisions can be made while preserving consumer privacy. Our setting … consumer privacy, or (formally) that it be differentially private -- an industry standard for privacy preservation. We develop … privacy-preserving personalized pricing algorithms and show that they achieve near-optimal revenue by deriving theoretical …