1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Fair Active Ranking from Pairwise Preferences
Sruthi Gorantla, Sara Ahmadian
We investigate the problem of probably approximately correct and fair (PACF) ranking of items by adaptively evoking pairwise comparisons. Given a set of items that belong to di…
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.LG2022★ 1 cited
Socially Fair Center-based and Linear Subspace Clustering
Sruthi Gorantla, Kishen N. Gowda, Amit Deshpande +1
Center-based clustering (e.g., -means, -medians) and clustering using linear subspaces are two most popular techniques to partition real-world data into smaller clusters. How…