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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.

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1 result for “k-hypercontractive”

Robust Linear Regression: Optimal Rates in Polynomial Timestat.ML

Efficiently estimates linear models robust to corrupted data.

problem Learning linear models under adversarial corruption and minimal distributional assumptions.

method Develops a polynomial relaxation of independence to achieve optimal convergence rate.

result Achieves optimal convergence rate of

ε^{2-2/k}

for

k

-hypercontractive distributions.

robust regression linear models polynomial time k-hypercontractive adversarial corruption

2020-06-29abs ↗pdf ↗