ORID qXlovWytwg · tags icml2026-repro paper-qXlovWytwg
| # | Status | Page | Artifact | Claim excerpt |
|---|---|---|---|---|
| 1 | VERIFIED 2/2 | 01-defines-gamma-graph-dimension-definition-via | artifact | The paper defines the gamma-graph dimension d_γ (Definition 3.2) via a gamma-sha… |
| 2 | VERIFIED 2/2 | 02-any-interpolator-based-aggregation-proper-aggreg | artifact | Any interpolator-based aggregation using proper aggregation rules requires sampl… |
| 3 | VERIFIED 2/2 | 03-there-exist-hypothesis-classes-graph | artifact | There exist hypothesis classes with γ-graph dimension d_γ and γ-OIG dimension at… |
| 4 | VERIFIED 2/2 | 04-some-hypothesis-classes-constant-oig | artifact | For some hypothesis classes with constant γ-OIG dimension, no finite interpolati… |
| 5 | VERIFIED 2/2 | 05-taking-median-three-independently-trained | artifact | Taking the median of three independently trained interpolators achieves expected… |
| 6 | VERIFIED 2/2 | 06-proper-learners-require-sample-complexity | artifact | Proper learners require sample complexity Ω((d_γ/ε)ln(1/ε)), strictly worse than… |