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Semi-supervised Inference for Explained Variance in High-dimensional
  Linear Regression and Its Applications
v1v2 (latest)

Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications

16 June 2018
T. Tony Cai
Zijian Guo
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications"

12 / 12 papers shown
Title
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral
  Methods and Graph Convolutional Networks
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
Hai-Xiao Wang
Zhichao Wang
123
1
0
18 Dec 2024
The Fundamental Limits of Structure-Agnostic Functional Estimation
The Fundamental Limits of Structure-Agnostic Functional Estimation
Sivaraman Balakrishnan
Edward H. Kennedy
Larry A. Wasserman
70
11
0
06 May 2023
Finite- and Large- Sample Inference for Model and Coefficients in
  High-dimensional Linear Regression with Repro Samples
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
P. Wang
Min-ge Xie
Linjun Zhang
202
5
0
19 Sep 2022
A zero-estimator approach for estimating the signal level in a
  high-dimensional model-free setting
A zero-estimator approach for estimating the signal level in a high-dimensional model-free setting
Ilan Livne
David Azriel
Y. Goldberg
39
0
0
11 May 2022
SIHR: Statistical Inference in High-Dimensional Linear and Logistic
  Regression Models
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models
Prabrisha Rakshit
Zhenyu Wang
T. Tony Cai
Zijian Guo
59
4
0
07 Sep 2021
Double Robust Semi-Supervised Inference for the Mean: Selection Bias
  under MAR Labeling with Decaying Overlap
Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
Yuqian Zhang
Abhishek Chakrabortty
Jelena Bradic
59
10
0
14 Apr 2021
Statistical Inference for Maximin Effects: Identifying Stable
  Associations across Multiple Studies
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies
Zijian Guo
56
17
0
15 Nov 2020
Transfer Learning in Large-scale Gaussian Graphical Models with False
  Discovery Rate Control
Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control
Sai Li
T. Tony Cai
Hongzhe Li
86
53
0
21 Oct 2020
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized
  Linear Regression
On the Optimal Weighted ℓ2\ell_2ℓ2​ Regularization in Overparameterized Linear Regression
Denny Wu
Ji Xu
75
123
0
10 Jun 2020
The Asymptotic Distribution of the MLE in High-dimensional Logistic
  Models: Arbitrary Covariance
The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance
Qian Zhao
Pragya Sur
Emmanuel J. Candès
89
36
0
25 Jan 2020
Online Debiasing for Adaptively Collected High-dimensional Data with
  Applications to Time Series Analysis
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis
Y. Deshpande
Adel Javanmard
M. Mehrabi
AI4TS
128
32
0
04 Nov 2019
Honest confidence sets for high-dimensional regression by projection and
  shrinkage
Honest confidence sets for high-dimensional regression by projection and shrinkage
Kun Zhou
Ker-Chau Li
Qing Zhou
40
4
0
01 Feb 2019
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