40 citations · 177 across the 37 of their papers we have counts for
4 papers · 1 filter
Online Hierarchical Clustering Approximations
Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen +3
Hierarchical clustering is a widely used approach for clustering datasets at multiple levels of granularity. Despite its popularity, existing algorithms such as hierarchical agglom…
Fairness risk measures
Robert C. Williamson, Aditya Krishna Menon
Ensuring that classifiers are non-discriminatory or fair with respect to a sensitive feature (e.g., race or gender) is a topical problem. Progress in this task requires fixing a de…
Cold-start Playlist Recommendation with Multitask Learning
Dawei Chen, Cheng Soon Ong, Aditya Krishna Menon
Playlist recommendation involves producing a set of songs that a user might enjoy. We investigate this problem in three cold-start scenarios: (i) cold playlists, where we recommend…
Noise-tolerant fair classification
Alexandre Louis Lamy, Ziyuan Zhong, Aditya Krishna Menon +1
Fairness-aware learning involves designing algorithms that do not discriminate with respect to some sensitive feature (e.g., race or gender). Existing work on the problem operates…