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"schema_version": 2,
"title": "Reproduction: Constrained Adaptive Rejection Sampling",
"emoji": "🎯",
"space_id": "algorise/repro-constrained-adaptive-rejection-sampling",
"paper": {
"arxiv_id": "2510.01902"
},
"tags": [
"icml2026-repro",
"paper-gLRqqQOM9K"
],
"updated_at": "2026-08-03T07:34:32+00:00",
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"slug": "index",
"title": "Reproduction: Constrained Adaptive Rejection Sampling",
"file": "pages/index.md",
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{
"slug": "executive-summary",
"title": "Executive summary",
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{
"slug": "claim-1",
"title": "Claim 1: Constrained Adaptive Rejection Sampling (CARS) strictly improves sample-efficiency of rejection sampling without distributional distortion",
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"children": []
},
{
"slug": "claim-2",
"title": "Claim 2: Adaptively rules out constraint-violating continuations via trie-based recording and probability subtraction",
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"children": []
},
{
"slug": "claim-3",
"title": "Claim 3: Ensures acceptance rates improve monotonically with samples exactly following constrained distribution",
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},
{
"slug": "conclusion",
"title": "Conclusion",
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}
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