| { |
| "schema_version": 1, |
| "title": "Repro - Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function", |
| "emoji": "🎯", |
| "space_id": "rdubwiley/provably-data-driven-multiple-hyper-parameter-repro", |
| "paper": { |
| "arxiv_id": "2602.02406" |
| }, |
| "tags": [ |
| "icml2026-repro", |
| "paper-JnuwpwbZ8D" |
| ], |
| "updated_at": "2026-07-17T02:52:29+00:00", |
| "root": { |
| "slug": "index", |
| "title": "Repro - Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function", |
| "file": "pages/index.md", |
| "children": [ |
| { |
| "slug": "claim-1-establishes-first-general-framework-for-generalization-guarantees-for-multi-dimensional-hyperparameter-tuning", |
| "title": "Claim 1: Establishes first general framework for generalization guarantees for multi-dimensional hyperparameter tuning", |
| "file": "pages/claim-1-establishes-first-general-framework-for-generalization-guarantees-for-multi-dimensional-hyperparameter-tuning/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-2-strengthens-guarantees-using-semi-algebraic-function-classes-with-finite-fat-shattering-dimension", |
| "title": "Claim 2: Strengthens guarantees using semi-algebraic function classes with finite fat-shattering dimension", |
| "file": "pages/claim-2-strengthens-guarantees-using-semi-algebraic-function-classes-with-finite-fat-shattering-dimension/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "claim-3-derives-improved-bounds-for-data-driven-weighted-group-lasso-and-weighted-fused-lasso", |
| "title": "Claim 3: Derives improved bounds for data-driven weighted group lasso and weighted fused lasso", |
| "file": "pages/claim-3-derives-improved-bounds-for-data-driven-weighted-group-lasso-and-weighted-fused-lasso/page.md", |
| "children": [] |
| }, |
| { |
| "slug": "conclusion", |
| "title": "Conclusion", |
| "file": "pages/conclusion/page.md", |
| "children": [] |
| } |
| ] |
| }, |
| "agent_view_tokens": 5183, |
| "revision": "1784256749594395393" |
| } |
