Establishes sharp low-degree estimation thresholds in planted hypergraphs and tensor PCA, resolving open hardness questions and yielding polynomial-time algorithms above thresholds.
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math.ST 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
This review synthesizes representative advances in high-dimensional statistics, highlights common themes and open problems, and points to key entry works.
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Low-degree estimation thresholds in planted hypergraphs and tensor PCA
Establishes sharp low-degree estimation thresholds in planted hypergraphs and tensor PCA, resolving open hardness questions and yielding polynomial-time algorithms above thresholds.
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High-Dimensional Statistics: Reflections on Progress and Open Problems
This review synthesizes representative advances in high-dimensional statistics, highlights common themes and open problems, and points to key entry works.