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Sparse Sliced Inverse Regression Via Lasso
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Sparse Sliced Inverse Regression Via Lasso

Q. Lin
Zhigen Zhao
Jun S. Liu
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Papers citing "Sparse Sliced Inverse Regression Via Lasso"

16 / 16 papers shown
Title
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
Shouri Hu
Jiawei Li
Zhibo Cai
55
1
0
08 Mar 2024
Contraction rates and projection subspace estimation with Gaussian process priors in high dimension
Contraction rates and projection subspace estimation with Gaussian process priors in high dimension
Elie Odin
François Bachoc
A. Lagnoux
89
0
0
06 Mar 2024
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
Xintao Xia
Linjun Zhang
Zhanrui Cai
80
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
45
1
0
24 Jul 2023
Differentially private sliced inverse regression in the federated paradigm
Differentially private sliced inverse regression in the federated paradigm
Shuai He
Jiawei Zhang
Xin Chen
FedML
78
1
0
10 Jun 2023
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression
Wenquan Cui
Yue Zhao
Jianjun Xu
Haoyang Cheng
FedML
43
1
0
23 Jan 2023
On the testing of multiple hypothesis in sliced inverse regression
On the testing of multiple hypothesis in sliced inverse regression
Zhigen Zhao
Xin Xing
8
1
0
12 Oct 2022
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
Siqi Liang
Y. Sun
F. Liang
BDL
71
11
0
09 Oct 2022
Statistical process monitoring of artificial neural networks
Statistical process monitoring of artificial neural networks
A. Malinovskaya
Pavlo Mozharovskyi
Philipp Otto
46
8
0
15 Sep 2022
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
Abhishek Chakrabortty
Guorong Dai
Ray Carroll
53
10
0
25 Jan 2022
Online Sparse Sliced Inverse Regression
Online Sparse Sliced Inverse Regression
Jianjun Xu
Wenquan Cui
Haoyang Cheng
12
1
0
30 Sep 2020
Understanding Implicit Regularization in Over-Parameterized Single Index Model
Understanding Implicit Regularization in Over-Parameterized Single Index Model
Jianqing Fan
Zhuoran Yang
Mengxin Yu
81
18
0
16 Jul 2020
Bayesian inverse regression for dimension reduction with small datasets
Bayesian inverse regression for dimension reduction with small datasets
Xin Cai
Guang Lin
Jinglai Li
46
1
0
19 Jun 2019
High-dimensional Index Volatility Models via Stein's Identity
High-dimensional Index Volatility Models via Stein's Identity
Sen Na
Mladen Kolar
60
12
0
27 Nov 2018
Prediction regions through Inverse Regression
Prediction regions through Inverse Regression
Emilie Devijver
Émeline Perthame
48
8
0
09 Jul 2018
On the optimality of sliced inverse regression in high dimensions
On the optimality of sliced inverse regression in high dimensions
Q. Lin
Xinran Li
Dongming Huang
Jun S. Liu
83
24
0
21 Jan 2017