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"schema_version": 1,
"title": "Repro - Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport",
"emoji": "🎯",
"space_id": "rdubwiley/partial-identification-under-high-dimensional-repro",
"paper": {
"arxiv_id": "2606.00847"
},
"tags": [
"icml2026-repro",
"paper-raKcsJbVDY"
],
"updated_at": "2026-07-18T02:29:23+00:00",
"root": {
"slug": "index",
"title": "Repro - Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport",
"file": "pages/index.md",
"children": [
{
"slug": "claim-1-decomposing-the-high-dimensional-transport-problem-into-signal-and-residual-subspaces-enables-tractable-causal-bounds",
"title": "Claim 1: Decomposing the high-dimensional transport problem into signal and residual subspaces enables tractable causal bounds.",
"file": "pages/claim-1-decomposing-the-high-dimensional-transport-problem-into-signal-and-residual-subspaces-enables-tractable-causal-bounds/page.md",
"children": []
},
{
"slug": "claim-2-sliced-wasserstein-distance-enables-efficient-recovery-of-residual-transport-energy-in-high-dimensions",
"title": "Claim 2: Sliced Wasserstein distance enables efficient recovery of residual transport energy in high dimensions.",
"file": "pages/claim-2-sliced-wasserstein-distance-enables-efficient-recovery-of-residual-transport-energy-in-high-dimensions/page.md",
"children": []
},
{
"slug": "claim-3-the-estimator-consistently-outperforms-projection-only-baselines-by-recovering-lost-transport-energy-and-yielding-more-i",
"title": "Claim 3: The estimator consistently outperforms projection-only baselines by recovering lost transport energy and yielding more i",
"file": "pages/claim-3-the-estimator-consistently-outperforms-projection-only-baselines-by-recovering-lost-transport-energy-and-yielding-more-i/page.md",
"children": []
},
{
"slug": "conclusion",
"title": "Conclusion",
"file": "pages/conclusion/page.md",
"children": []
}
]
},
"agent_view_tokens": 8158,
"revision": "1784341763145322300"
} |