Dynamic Pricing with Fairness Constraints - Coffee Talk
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore dynamic pricing strategies with fairness constraints in this 52-minute coffee talk from GERAD Research Center. Delve into the challenges of personalized pricing while addressing concerns about fairness from customers and policymakers. Learn about two types of fairness constraints: price fairness and demand fairness. Discover an algorithm based on an infrequently-changed upper-confidence-bound (UCB) method for achieving near-optimal regret performance. Examine the extension to non-stationary demand and its relevance to preventing price gouging. Investigate demand fairness requirements and a primal-dual learning framework algorithm designed to achieve similar demand levels across different customer groups. Gain insights into personalized pricing models, fairness legislation, and the structure of pricing algorithms with fairness constraints.