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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.

169,341 papers · 148 categories

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0111 · Dec 201619922001200920182026
1 result for “dGCV”
Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and its Asymptotic Optimalitystat.ML

Paper proposes dGCV for tuning in d-KRR, scalable and asymptotically optimal.

problem Lack of data-driven tuning method for divide-and-conquer kernel ridge regression.
method Modified Generalized Cross-validation (dGCV) for tuning parameters in d-KRR.
result dGCV is asymptotically optimal and equivalent to minimizing global loss.
divide-and-conquerkernel ridge regressiontuningasymptotic optimalitydGCV
2016-12-18abs ↗pdf ↗