logbook.json

{
  "schema_version": 2,
  "title": "Reproduction: A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization",
  "emoji": "🎯",
  "space_id": "RyeCatcher/repro-a-geometry-aware-efficient-algorithm-for-compositional-entropic-risk-minimization",
  "paper": {
    "arxiv_id": "2602.02877"
  },
  "tags": [
    "icml2026-repro",
    "paper-0SGle5hjIf"
  ],
  "updated_at": "2026-08-02T15:54:17+00:00",
  "root": {
    "slug": "index",
    "title": "Reproduction: A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "executive-summary",
        "title": "Executive summary",
        "file": "pages/executive-summary/page.md",
        "children": []
      },
      {
        "slug": "claim-1-c1-scent-s-stochastic-proximal-mirror-descent-update-for-the-dual-variabl",
        "title": "Claim 1: C1: SCENT's stochastic proximal mirror descent update for the dual variabl...",
        "file": "pages/claim-1-c1-scent-s-stochastic-proximal-mirror-descent-update-for-the-dual-variabl/page.md",
        "children": []
      },
      {
        "slug": "claim-2-c2-theorem-3-6-proves-scent-achieves-an-o-1-sqrt-t-convergence-rate-for",
        "title": "Claim 2: C2: Theorem 3.6 proves SCENT achieves an O(1/sqrt(T)) convergence rate for...",
        "file": "pages/claim-2-c2-theorem-3-6-proves-scent-achieves-an-o-1-sqrt-t-convergence-rate-for/page.md",
        "children": []
      },
      {
        "slug": "claim-3-c3-lemma-3-3-proves-the-dual-iterates-nu-i-t-remain-bounded-within-an-i",
        "title": "Claim 3: C3: Lemma 3.3 proves the dual iterates nu_{i,t} remain bounded within an i...",
        "file": "pages/claim-3-c3-lemma-3-3-proves-the-dual-iterates-nu-i-t-remain-bounded-within-an-i/page.md",
        "children": []
      },
      {
        "slug": "claim-4-c4-theorem-4-3-shows-that-for-fixed-w-spmd-s-convergence-is-characterize",
        "title": "Claim 4: C4: Theorem 4.3 shows that for fixed w, SPMD's convergence is characterize...",
        "file": "pages/claim-4-c4-theorem-4-3-shows-that-for-fixed-w-spmd-s-convergence-is-characterize/page.md",
        "children": []
      },
      {
        "slug": "claim-5-c5-on-extreme-classification-benchmarks-glint360k-and-treeoflife-10m-sce",
        "title": "Claim 5: C5: On extreme classification benchmarks Glint360K and TreeOfLife-10M, SCE...",
        "file": "pages/claim-5-c5-on-extreme-classification-benchmarks-glint360k-and-treeoflife-10m-sce/page.md",
        "children": []
      },
      {
        "slug": "claim-6-c6-on-partial-auc-maximization-over-cifar-10-and-cifar-100-scent-matches",
        "title": "Claim 6: C6: On partial AUC maximization over CIFAR-10 and CIFAR-100, SCENT matches...",
        "file": "pages/claim-6-c6-on-partial-auc-maximization-over-cifar-10-and-cifar-100-scent-matches/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
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