Research map / Learning theory and algorithms / Prediction and decision losses
Adapting a Kidney Exchange Algorithm to Align With Human Values
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| break ties by human-derived profile weights instead of arbitrarily | kidney exchange clearing IP · simulated pool, proportion matched by profile | proportion matched | Mixed |
| prioritize by profile weights | kidney exchange clearing IP · simulated pool, overall matched | proportion of pairs matched overall: approximately 61.7% for both | No clear effect |
| prioritize by profile weights | kidney exchange clearing IP · non-underdemanded blood type classes | proportion matched | No clear effect |
| replace Bradley-Terry score weights with rank-linear weights of same ordering (ablation) | prioritized algorithm · underdemanded pairs matched | proportion matched | No clear effect |
Closest papers by meaning
- Small Representations of Big Kidney Exchange Graphs (AAAI 2017 · similarity 0.90)
- Improving Policy-Constrained Kidney Exchange via Pre-Screening (NeurIPS 2020 · similarity 0.89)
- Scalable Robust Kidney Exchange (AAAI 2019 · similarity 0.88)
- Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange (AAAI 2018 · similarity 0.88)
- Fast Optimal Clearing of Capped-Chain Barter Exchanges (AAAI 2016 · similarity 0.88)
- Evaluating Index-based Treatment Allocation in Underresourced Communities (AAAI 2025 · similarity 0.81)
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