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On the optimality of sliced inverse regression in high dimensions

On the optimality of sliced inverse regression in high dimensions

21 January 2017
Q. Lin
Xinran Li
Dongming Huang
Jun S. Liu
ArXivPDFHTML

Papers citing "On the optimality of sliced inverse regression in high dimensions"

7 / 7 papers shown
Title
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
Xintao Xia
Linjun Zhang
Zhanrui Cai
44
0
0
16 Jan 2024
Functional Slicing-free Inverse Regression via Martingale Difference
  Divergence Operator
Functional Slicing-free Inverse Regression via Martingale Difference Divergence Operator
Songtao Tian
Zixiong Yu
Rui Chen
20
1
0
24 Jul 2023
On the Optimality of Functional Sliced Inverse Regression
On the Optimality of Functional Sliced Inverse Regression
Ruidi Chen
Songtao Tian
Dongming Huang
Q. Lin
Jun S. Liu
13
2
0
06 Jul 2023
Learning Fair Representations for Kernel Models
Learning Fair Representations for Kernel Models
Zilong Tan
Samuel Yeom
Matt Fredrikson
Ameet Talwalkar
FaML
27
25
0
27 Jun 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity
High-dimensional Varying Index Coefficient Models via Stein's Identity
Sen Na
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
24
21
0
16 Oct 2018
Sparse Sliced Inverse Regression Via Lasso
Sparse Sliced Inverse Regression Via Lasso
Q. Lin
Zhigen Zhao
Jun S. Liu
57
81
0
21 Nov 2016
Estimating sufficient reductions of the predictors in abundant
  high-dimensional regressions
Estimating sufficient reductions of the predictors in abundant high-dimensional regressions
R. Cook
L. Forzani
Adam J. Rothman
66
30
0
30 May 2012
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