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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…
cs.LG2022
Sampling Ex-Post Group-Fair Rankings
Sruthi Gorantla, Amit Deshpande, Anand Louis
Randomized rankings have been of recent interest to achieve ex-ante fairer exposure and better robustness than deterministic rankings. We propose a set of natural axioms for random…