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1203.0565
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Fast learning rate of multiple kernel learning: Trade-off between sparsity and smoothness
2 March 2012
Taiji Suzuki
Masashi Sugiyama
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Papers citing
"Fast learning rate of multiple kernel learning: Trade-off between sparsity and smoothness"
11 / 11 papers shown
Title
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
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Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
Zijian Guo
Wei Yuan
Cun-Hui Zhang
49
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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
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