Research map / Learning theory and algorithms / Prediction and decision losses
Preference Elicitation For Participatory Budgeting
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use randomized threshold approval votes instead of knapsack votes | participatory budgeting input formats · Theory | distortion bound: Θ(m) -> O(log2 m) | Helped |
| use deterministic instead of randomized distortion-minimizing aggregation rules | all input formats · Boston elections | average welfare ratio | Helped |
| use threshold approval votes instead of knapsack votes as input format | deterministic rules · Boston elections | average welfare ratio | Helped |
| randomize the approval threshold instead of fixing it deterministically (ablation) | threshold approval votes · Theory | distortion bound: Ω(√m) -> O(log2 m) | Helped |
| use rankings by value for money instead of rankings by value | ranking input formats · Theory | distortion bound | No clear effect |
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