Fast learning rate of multiple kernel learning: Trade-off between
sparsity and smoothness

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Fast learning rate of multiple kernel learning: Trade-off between sparsity and smoothness

2 March 2012

Masashi Sugiyama

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Papers citing "Fast learning rate of multiple kernel learning: Trade-off between sparsity and smoothness"

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Title
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives Hussein Hazimeh Rahul Mazumder P. Radchenko 417 27 0 14 Apr 2021
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models Zijian Guo Wei Yuan Cun-Hui Zhang 49 2 0 30 Jul 2019
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data M. Yamada Jiliang Tang Jose Lugo-Martinez Ermin Hodzic Raunak Shrestha ... Hiroshi Mamitsuka Cenk Sahinalp P. Radivojac Filippo Menczer Yi-Ju Chang 92 68 0 14 Aug 2016
Doubly Decomposing Nonparametric Tensor Regression Masaaki Imaizumi K. Hayashi 69 24 0 19 Jun 2015
Minimax Optimal Rates of Estimation in High Dimensional Additive Models: Universal Phase Transition M. Yuan Ding-Xuan Zhou 168 66 0 10 Mar 2015
Learning rates for the risk of kernel based quantile regression estimators in additive models A. Christmann Ding-Xuan Zhou 454 33 0 14 May 2014
Sparse additive regression on a regular lattice F. Abramovich Tal Lahav 86 6 0 23 Jul 2013
PAC-Bayesian Estimation and Prediction in Sparse Additive Models Benjamin Guedj Pierre Alquier 207 47 0 06 Aug 2012
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso M. Yamada Wittawat Jitkrittum Leonid Sigal Eric Xing Masashi Sugiyama 296 302 0 02 Feb 2012
Fast Learning Rate of Non-Sparse Multiple Kernel Learning and Optimal Regularization Strategies Taiji Suzuki 91 3 0 16 Nov 2011
Minimax-optimal rates for sparse additive models over kernel classes via convex programming Garvesh Raskutti Martin J. Wainwright Bin Yu 180 287 0 21 Aug 2010