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HARFE: hard-ridge random feature expansion - MaRDI portal

HARFE: hard-ridge random feature expansion (Q6049834)

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scientific article; zbMATH DE number 7739035

Language	Label	Description	Also known as
English	HARFE: hard-ridge random feature expansion	scientific article; zbMATH DE number 7739035

Statements

scholarly article

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HARFE: hard-ridge random feature expansion (English)

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Hayden Schaeffer

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Sampling Theory, Signal Processing, and Data Analysis

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publication date

18 September 2023

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full work available at URL

https://arxiv.org/abs/2202.02877

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zbMATH Keywords

sparse additive modeling

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random feature expansion

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ridge regression

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MaRDI profile type

MaRDI publication profile

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On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions

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Benign overfitting in linear regression

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Reconciling modern machine-learning practice and the classical bias–variance trade-off

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Sparse high-dimensional regression: exact scalable algorithms and phase transitions

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Multivariate Regression and Machine Learning with Sums of Separable Functions

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Fast high-dimensional approximation with sparse occupancy trees

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Iterative hard thresholding for compressed sensing

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Hard thresholding pursuit algorithms: number of iterations

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Kernel methods: a survey of current techniques

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Learning rates for the risk of kernel-based quantile regression estimators in additive models

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Hard Thresholding Pursuit: An Algorithm for Compressive Sensing

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A mathematical introduction to compressive sensing

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Generalization bounds for sparse random feature expansions

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Surprises in high-dimensional ridgeless least squares interpolation

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Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms

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Just interpolate: kernel ``ridgeless'' regression can generalize

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Component selection and smoothing in multivariate nonparametric regression

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A branch-and-cut decomposition algorithm for solving chance-constrained mathematical programs with finite support

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Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low

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Generalization error of random feature and kernel methods: hypercontractivity and kernel matrix concentration

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Approximation of High-Dimensional Periodic Functions with Fourier-Based Methods

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Interpretable Approximation of High-Dimensional Data

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Algorithms for learning sparse additive models with interactions in high dimensions*

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Scalable Algorithms for the Sparse Ridge Regression

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Learning Bounds for Kernel Regression Using Effective Data Dimensionality

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Identifiers

zbMATH Open document ID

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10.1007/s43670-023-00063-9

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:6049834

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