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A general theory for nonlinear sufficient dimension reduction:
  Formulation and estimation

A general theory for nonlinear sufficient dimension reduction: Formulation and estimation

2 April 2013
Kuang‐Yao Lee
Bing Li
Francesca Chiaromonte
ArXivPDFHTML

Papers citing "A general theory for nonlinear sufficient dimension reduction: Formulation and estimation"

5 / 5 papers shown
Title
Surrogate to Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces
Surrogate to Poincaré inequalities on manifolds for dimension reduction in nonlinear feature spaces
Anthony Nouy
Alexandre Pasco
42
0
0
03 May 2025
Deep Sufficient Representation Learning via Mutual Information
Deep Sufficient Representation Learning via Mutual Information
Siming Zheng
Yuanyuan Lin
Jian Huang
SSL
DRL
47
0
0
21 Jul 2022
Dimension Reduction for Fréchet Regression
Dimension Reduction for Fréchet Regression
Q. Zhang
Lingzhou Xue
Bing Li
29
12
0
01 Oct 2021
Identifiable Energy-based Representations: An Application to Estimating
  Heterogeneous Causal Effects
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
Yao Zhang
Jeroen Berrevoets
M. Schaar
CML
36
5
0
06 Aug 2021
An RKHS formulation of the inverse regression dimension-reduction
  problem
An RKHS formulation of the inverse regression dimension-reduction problem
T. Hsing
Haobo Ren
68
53
0
01 Apr 2009
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