Optimal cross-validation in density estimation with the $L^2$-loss

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Optimal cross-validation in density estimation with the $L^2$ -loss

5 November 2008

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Papers citing "Optimal cross-validation in density estimation with the $L^2$-loss"

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Title
Distributional bias compromises leave-one-out cross-validation George I. Austin I. Pe’er T. Korem 137 2 0 03 Jun 2024
Tuning parameter selection in econometrics Denis Chetverikov 64 2 0 05 May 2024
Fast and fully-automated histograms for large-scale data sets Valentina Zelaya Mendizábal Marc Boullé Fabrice Rossi 45 4 0 27 Dec 2022
Fitting a Multi-modal Density by Dynamic Programming E. Arias-Castro He Jiang 31 1 0 15 Jul 2022
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding Yanan Zheng Jing Zhou Yujie Qian Ming Ding Chonghua Liao Jian Li Ruslan Salakhutdinov Jie Tang Sebastian Ruder Zhilin Yang ELM 278 29 0 27 Sep 2021
Targeted Cross-Validation Jiawei Zhang Jie Ding Yuhong Yang 80 2 0 14 Sep 2021
Local asymptotics of cross-validation in least-squares density estimation G. Maillard 22 1 0 18 Jun 2021
Learning high-dimensional probability distributions using tree tensor networks Erwan Grelier A. Nouy R. Lebrun 51 10 0 17 Dec 2019
A concentration inequality for the excess risk in least-squares regression with random design and heteroscedastic noise Adrien Saumard 56 4 0 16 Feb 2017
Theoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier Alain Celisse T. Mary-Huard 20 2 0 20 Aug 2015