Research
On-device research index

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.

168,695 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Feb 202519922001200920172026
2 results for “error-in-operator”
Dimension-free bounds in high-dimensional linear regression via error-in-operator approachmath.ST

New method bounds high-dimensional regression without estimating design covariance.

problem High-dimensional linear regression with random design.
method Error-in-operator approach that incorporates design covariance into empirical risk minimization.
result Dimension-free bounds on excess prediction risk derived.
high-dimensional linear regressionerror-in-operatordimension-free boundsempirical risk minimization
2025-02-21abs ↗pdf ↗
High-Dimensional Interpolators Can Be Fragile: Heavy Tails and High-Dimensional Large Deviationsmath.ST

Interpolating models can have heavy-tailed risk, leading to rare but severe errors.

problem Interpolating models' tail risk is poorly understood, affecting rare but impactful errors.
method Large-deviation methods to study the fragility of high-dimensional linear interpolators.
result Ridgeless regression exhibits heavy-tailed risk, while ridge-regularized estimators have better tail behavior.
interpolationhigh-dimensionallarge-deviationsridgelessridge-regularization
2026-07-10abs ↗pdf ↗