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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.

168,695 papers · 148 categories

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0111 · Oct 202419922001200920172026
2 results for “SoftKI”
High-Dimensional Gaussian Process Regression with Soft Kernel Interpolationstat.ML

SoftKI combines SKI and variational methods for scalable GP regression.

problem Scalable Gaussian Process regression on high-dimensional datasets.
method SoftKI approximates kernel via softmax interpolation from a smaller number of learned points.
result SoftKI is competitive with other approximated GP methods for modest data dimensions.
Gaussian ProcessKernel InterpolationScalable MethodsHigh-Dimensional DataSoftmax Interpolation
2024-10-28abs ↗pdf ↗
Scaling Gaussian Process Regression with Full Derivative Observationscs.LG

DSoftKI scales GP regression with full derivative observations.

problem Efficiently fitting and predicting full derivative observations in Gaussian Processes.
method Extends SoftKI by using local temperature vectors for interpolation, enabling encoding of local directional sensitivity.
result DSoftKI achieves accurate predictions and scales to larger datasets with full derivative observations.
Gaussian ProcessesDerivative ObservationsSoftKIKernel InterpolationDeep Kernel Learning
2025-05-14abs ↗pdf ↗