Alvin Hong Yao Yan

2 accepted papers

2026

Fairness in Aggregation: Optimal Top-$k$ and Improved Full Ranking

Alvin Hong Yao Yan, Diptarka Chakraborty, Arya Mazumdar, Barna Saha

ICML 2026poster

Ensuring fairness in algorithmic ranking systems is a critical challenge with significant societal implications for hiring, recommendations, web search, and data management. Standard methods for aggregating multiple preference orders into a consensus ranking may perpetuate and even amplify the lack …

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2025

Improved Rank Aggregation Under Fairness Constraint

Diptarka Chakraborty, Himika Das, Sanjana Dey, Alvin Hong Yao Yan

IJCAI 2025

Aggregating multiple input rankings into a consensus ranking is essential in various fields such as social choice theory, hiring, college admissions, web search, and databases. A major challenge is that the optimal consensus ranking might be biased against individual candidates or groups, especially

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