Research map / Learning theory and algorithms / Matrix and tensor methods
Ranking Wily People Who Rank Each Other
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use k-PARTITE, COMMITTEE or NAIVE-BIPARTITE impartial rule instead of random ranking | Kemeny rule · Mallows phi=0.3, n up to 40 | Kemeny approximation ratio | Helped |
| use k-PARTITE instead of COMMITTEE/NAIVE-BIPARTITE | impartial rules · Mallows phi=0.3 | Kemeny approximation ratio variance | Hurt |
| use smaller committee size k (n/8 instead of n/4) (ablation) | COMMITTEE · Mallows low phi | Kemeny approximation ratio | Helped |
| use larger k (8 instead of 4) (ablation) | k-PARTITE · Mallows low phi | Kemeny approximation ratio | Mixed |
Closest papers by meaning
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- Stability and Multigroup Fairness in Ranking with Uncertain Predictions (ICML 2024 · similarity 0.83)
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