Consider a big multi-billion dollar company, “ACorp“. ACorp is planning to set up a new branch in another country. Starting a new branch needs a considerable workforce. It is looking to recruit suitable candidates in bulk. Hundreds of applicants have applied for different roles. The recruitment team then decided to use an AI model for … Continue reading Achieving Fairness through Neural Networks
Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions
In this work, we consider the contextual multi-armed bandit problem in the presence of strategic agents in the context of sponsored search auction. In this setting, an advertising platform (center) runs a repeated auction to select the best-suited ads relevant to the user’s query. The center aspires to select an ad that has a high … Continue reading Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions