Search Results for author: Anson Kahng

Found 3 papers, 1 papers with code

Strategyproof Mean Estimation from Multiple-Choice Questions

no code implementations ICML 2020 Anson Kahng, Gregory Kehne, Ariel Procaccia

Given n values possessed by n agents, we study the problem of estimating the mean by truthfully eliciting agents' answers to multiple-choice questions about their values.

Multiple-choice

District-Fair Participatory Budgeting

no code implementations11 Feb 2021 D Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D. Procaccia

On the other hand, decision making that only takes global social welfare into account can be unfair to districts: A social-welfare-maximizing solution might not fund any of the projects preferred by a district, despite the fact that its constituents pay taxes to the city.

Decision Making Fairness Computer Science and Game Theory Data Structures and Algorithms

Paradoxes in Fair Machine Learning

1 code implementation NeurIPS 2019 Paul Goelz, Anson Kahng, Ariel D. Procaccia

Equalized odds is a statistical notion of fairness in machine learning that ensures that classification algorithms do not discriminate against protected groups.

BIG-bench Machine Learning Fairness +1

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