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A Statistical Learning Approach to Modal Regression

A Statistical Learning Approach to Modal Regression

20 February 2017
Yunlong Feng
Jun Fan
Johan A. K. Suykens
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Papers citing "A Statistical Learning Approach to Modal Regression"

9 / 9 papers shown
Title
Learning with Correntropy-induced Losses for Regression with Mixture of
  Symmetric Stable Noise
Learning with Correntropy-induced Losses for Regression with Mixture of Symmetric Stable Noise
Yunlong Feng
Yiming Ying
20
21
0
01 Mar 2018
Bandwidth selection for nonparametric modal regression
Bandwidth selection for nonparametric modal regression
Haiming Zhou
Xianzheng Huang
23
19
0
01 Nov 2017
Generalized Correntropy for Robust Adaptive Filtering
Generalized Correntropy for Robust Adaptive Filtering
Badong Chen
Lei Xing
Haiquan Zhao
Nanning Zheng
José C. Príncipe
36
576
0
12 Apr 2015
Correntropy Induced L2 Graph for Robust Subspace Clustering
Correntropy Induced L2 Graph for Robust Subspace Clustering
Canyi Lu
Jinhui Tang
Min Lin
Liang Lin
Shuicheng Yan
Zhouchen Lin
45
92
0
18 Jan 2015
Consistency Analysis of an Empirical Minimum Error Entropy Algorithm
Consistency Analysis of an Empirical Minimum Error Entropy Algorithm
Jun Fan
Ting Hu
Qiang Wu
Ding-Xuan Zhou
168
54
0
17 Dec 2014
Nonparametric modal regression
Nonparametric modal regression
Yen-Chi Chen
Christopher R. Genovese
Robert Tibshirani
Larry A. Wasserman
100
112
0
04 Dec 2014
Global Rates of Convergence of the MLEs of Log-concave and s-concave
  Densities
Global Rates of Convergence of the MLEs of Log-concave and s-concave Densities
Charles R. Doss
J. Wellner
70
79
0
06 Jun 2013
Learning Theory Approach to Minimum Error Entropy Criterion
Learning Theory Approach to Minimum Error Entropy Criterion
Ting Hu
Jun Fan
Qiang Wu
Ding-Xuan Zhou
70
82
0
03 Aug 2012
Consistency and robustness of kernel-based regression in convex risk
  minimization
Consistency and robustness of kernel-based regression in convex risk minimization
A. Christmann
Ingo Steinwart
161
120
0
05 Sep 2007
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