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Fast learning rate of multiple kernel learning: Trade-off between
  sparsity and smoothness
v1v2 (latest)

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

2 March 2012
Taiji Suzuki
Masashi Sugiyama
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
1