all AI news
Data-based price discrimination: information theoretic limitations and a minimax optimal strategy. (arXiv:2204.12723v1 [cs.GT])
April 28, 2022, 1:11 a.m. | Haitian Xie, Ying Zhu
cs.LG updates on arXiv.org arxiv.org
This paper studies the gap between the classical pricing theory and the
data-based pricing theory. We focus on the problem of price discrimination with
a continuum of buyer types based on a finite sample of observations. Our first
set of results provides sharp lower bounds in the worst-case scenario for the
discrepancy between any data-based pricing strategies and the theoretical
optimal third-degree price discrimination (3PD) strategy (respectively, uniform
pricing strategy) derived from the distribution (where the sample is drawn)
ranging …
arxiv data discrimination information minimax price strategy
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Engineer
@ Parker | New York City
Sr. Data Analyst | Home Solutions
@ Three Ships | Raleigh or Charlotte, NC