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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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2 results for “max-quasinorm”

Deterministic tensor completion with hypergraph expandersstat.ML

Deterministic tensor completion using hypergraph expanders with linear sample complexity.

problem Low-rank tensor recovery with minimal samples.

method Minimizing max-quasinorm of tensors using hypergraph expanders.

result Deterministic analysis shows linear sample complexity for tensor recovery.

tensor completion hypergraph expanders max-quasinorm low-rank deterministic analysis

2019-10-23abs ↗pdf ↗

Spectral gap-based deterministic tensor completionstat.ML

The paper improves tensor completion bounds using spectral gap.

problem Theoretical limitations in tensor completion, especially for deterministic sampling.

method Bounding the generalization error of tensor completion methods using spectral gap.

result Improved bounds on tensor completion error, reducing rank dependence.

tensor completion spectral gap generalization error atomic norm reconstruction error

2023-06-09abs ↗pdf ↗