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08/25/2023
Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness
In learning-to-rank (LTR), optimizing only the relevance (or the expecte...
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06/21/2023
Sampling Individually-Fair Rankings that are Always Group Fair
Rankings on online platforms help their end-users find the relevant info...
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08/22/2022
Socially Fair Center-based and Linear Subspace Clustering
Center-based clustering (e.g., k-means, k-medians) and clustering using ...
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03/02/2022
Sampling Random Group Fair Rankings
In this paper, we consider the problem of randomized group fair ranking ...
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09/24/2020
Ranking for Individual and Group Fairness Simultaneously
Search and recommendation systems, such as search engines, recruiting to...
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02/22/2019
Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining
With the multitude of companies and organizations abound today, ranking ...
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05/16/2018