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"title": "Reproduction: A Fully First-Order Layer for Differentiable Optimization",
"emoji": "⚙️",
"space_id": "amkkk/repro-a-fully-first-order-layer-for-differentiable-optimization",
"paper": {
"arxiv_id": "2512.02494",
"openreview_id": "jJur8Fq7IK"
},
"tags": [
"icml2026-repro",
"paper-jJur8Fq7IK"
],
"updated_at": "2026-08-01T20:48:18+00:00",
"root": {
"slug": "index",
"title": "Reproduction: A Fully First-Order Layer for Differentiable Optimization",
"file": "pages/index.md",
"children": [
{
"slug": "executive-summary",
"title": "Executive summary",
"file": "pages/executive-summary/page.md",
"children": []
},
{
"slug": "claim-1-algorithm",
"title": "Claim 1: ε-approximate hypergradient with an active-set Lagrangian oracle",
"file": "pages/claim-1-algorithm/page.md",
"children": []
},
{
"slug": "claim-2-ghost-bilevel",
"title": "Claim 2: ghost bilevel reformulation (Theorem 4.1)",
"file": "pages/claim-2-ghost-bilevel/page.md",
"children": []
},
{
"slug": "claim-3-complexity",
"title": "Claim 3: O(δ⁻¹ε⁻³) oracle complexity and general convex constraints",
"file": "pages/claim-3-complexity/page.md",
"children": []
},
{
"slug": "claim-4-qp-sudoku",
"title": "Claim 4: synthetic QP and 9×9 Sudoku LP benchmarks",
"file": "pages/claim-4-qp-sudoku/page.md",
"children": []
},
{
"slug": "claim-5-implementation",
"title": "Claim 5: objective-agnostic PyTorch FFOLayer",
"file": "pages/claim-5-implementation/page.md",
"children": []
},
{
"slug": "claim-6-lpgd",
"title": "Claim 6: FFOLayer vs LPGD and Hessian-free backward",
"file": "pages/claim-6-lpgd/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
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}
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