On kernel methods for covariates that are rankings

DOI10.1214/18-EJS1437zbMath1409.62090arXiv1603.08035OpenAlexW2962983095MaRDI QIDQ1657968

Michael I. Jordan, Aaditya Ramdas, Horia Mania, Benjamin Recht, Martin J. Wainwright

Publication date: 14 August 2018

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1603.08035

zbMATH Keywords

Fourier analysissymmetric grouprepresentation theoryridge regressionpolynomial kernelKendall kernelMallows kernel

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Ridge regression; shrinkage estimators (Lasso) (62J07)

Related Items

Infinite-dimensional stochastic transforms and reproducing kernel Hilbert space, Query-dependent ranking and its asymptotic properties, Unnamed Item, Gaussian field on the symmetric group: prediction and learning, Antithetic and Monte Carlo kernel estimators for partial rankings

Uses Software

• Scikit

Cites Work

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