Interpretable Approximation of High-Dimensional Data

SIAM Journal on Mathematics of Data Science (SIMODS), 2021

25 March 2021

D. Potts

Michael Schmischke

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Papers citing "Interpretable Approximation of High-Dimensional Data"

9 / 9 papers shown

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Generative Feature Training of Thin 2-Layer Networks

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Data Compression using Rank-1 Lattices for Parameter Estimation in Machine Learning

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Kumar Harsha

Marcin Wnuk

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ANOVA-boosting for Random Fourier FeaturesApplied and Computational Harmonic Analysis (ACHA), 2024

Daniel Potts

Laura Weidensager

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HARFE: Hard-Ridge Random Feature ExpansionSampling Theory, Signal Processing, and Data Analysis (TSPDA), 2022

Esha Saha

Hayden Schaeffer

Giang Tran

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SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

294

07 Dec 2021

Interpretable transformed ANOVA approximation on the example of the prevention of forest fires

D. Potts

Michael Schmischke

14 Oct 2021

Sparse Mixture Models inspired by ANOVA DecompositionsElectronic Transactions on Numerical Analysis (ETNA), 2021

J. Hertrich

F. Ba

Gabriele Steidl

204

31 May 2021