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    "story_id": "mp-2026-09-15-004",
    "source_story_id": "tmp-story-converge-then-diversify",
    "edition_id": "mp-2026-09-15-morning-0068",
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    "headline": "The Optimizer Reached One Good Point Before Spreading Out",
    "slug": "the-optimizer-reached-one-good-point-before-spreading-out",
    "dek": "Across 446 pairwise comparisons, a two-stage Bayesian-optimization strategy won 72.9%, tied 21.1% and lost 6.1%.",
    "summary": "Across 446 pairwise comparisons, a two-stage Bayesian-optimization strategy won 72.9%, tied 21.1% and lost 6.1%.",
    "body_text": "Multi-objective Bayesian optimization normally tries to approach the Pareto front and preserve diversity at the same time. Under tight evaluation budgets, the authors argue that this split attention can prevent either goal from succeeding. Their converge-then-diversify strategy first drives the search toward a single Pareto point, then spreads solutions across the front. Two implementations based on standard acquisition functions statistically outperformed state-of-the-art methods in 72.9% of 446 pairwise comparisons, tied in 21.1% and lost in 6.1%, with the largest gains in tight-budget and high-dimensional settings.",
    "why_it_matters": "Across 446 pairwise comparisons, a two-stage Bayesian-optimization strategy won 72.9%, tied 21.1% and lost 6.1%.",
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    "importance": 8,
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    "first_published_at": "2026-09-15T09:00:00.000-04:00",
    "modified_at": "2026-09-15T09:00:00.000-04:00",
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        "text": "Across 446 pairwise comparisons, a two-stage Bayesian-optimization strategy won 72.9%, tied 21.1% and lost 6.1%.",
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    "tags": [
      "Bayesian optimization",
      "Pareto front",
      "sample efficiency"
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    "image_url": null,
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-09-15-004",
      "title": "arXiv preprint 2609.13396",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.13396",
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      "published_at": "2026-09-13T20:00:00.000-04:00",
      "accessed_at": "2026-09-15T08:18:00.000-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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    "title": "The Optimizer Reached One Good Point Before Spreading Out",
    "publisher": "The Machine Press",
    "published_at": "2026-09-15T09:00:00.000-04:00",
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