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Minimax Estimation of Quadratic Fourier Functionals.

, , и . CoRR, (2018)

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Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA., и . J. Mach. Learn. Res., (2022)Consistency and Rates for Clustering with DBSCAN., и . AISTATS, том 22 из JMLR Proceedings, стр. 1090-1098. JMLR.org, (2012)On Kernel Derivative Approximation with Random Fourier Features., и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 827-836. PMLR, (2019)Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3642-3652. PMLR, (2020)A Fast, Consistent Kernel Two-Sample Test., , , и . NIPS, стр. 673-681. Curran Associates, Inc., (2009)Optimal kernel choice for large-scale two-sample tests., , , , , , и . NIPS, стр. 1214-1222. (2012)Characteristic and Universal Tensor Product Kernels., и . J. Mach. Learn. Res., (2017)Minimax Estimation of Quadratic Fourier Functionals., , и . CoRR, (2018)Consistent, Two-Stage Sampled Distribution Regression via Mean Embedding., , , и . CoRR, (2014)Two-stage sampled learning theory on distributions., , , и . AISTATS, том 38 из JMLR Workshop and Conference Proceedings, JMLR.org, (2015)