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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 “hyperinterpolation”
Distributed Learning via Filtered Hyperinterpolation on Manifoldsmath.NA

This paper tackles learning functions on manifolds using parallel distributed learning.

problem Learning real-valued functions on manifolds from input-output data pairs.
method Filtered hyperinterpolation and parallel distributed learning.
result Optimal approximation order for non-distributed case, and quantitative relations for distributed case.
manifold learningdistributed learninghyperinterpolationparallel processingapproximation rates
2020-07-18abs ↗pdf ↗