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cs.LG2023
Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness
Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande +1
In learning-to-rank (LTR), optimizing only the relevance (or the expected ranking utility) can cause representational harm to certain categories of items. Moreover, if there is imp…
cs.CY2023
Sampling Individually-Fair Rankings that are Always Group Fair
Sruthi Gorantla, Anay Mehrotra, Amit Deshpande +1
Rankings on online platforms help their end-users find the relevant information -- people, news, media, and products -- quickly. Fair ranking tasks, which ask to rank a set of item…