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1104.4595
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Scaled Sparse Linear Regression
24 April 2011
Tingni Sun
Cun-Hui Zhang
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Papers citing
"Scaled Sparse Linear Regression"
50 / 177 papers shown
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Tianying Wang
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11 Sep 2024
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237
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15 Feb 2024
Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients
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Yinan Lin
Zijian Guo
Baoluo Sun
Zhenhua Lin
264
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09 Oct 2023
Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization
SDM (SDM), 2023
Duc Toan Nguyen
E. C. Chi
181
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24 Sep 2023
Pivotal Estimation of Linear Discriminant Analysis in High Dimensions
Journal of machine learning research (JMLR), 2023
Ethan X. Fang
Yajun Mei
Yuyang Shi
Qunzhi Xu
Tuo Zhao
192
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18 Sep 2023
Distributed Sparse Linear Regression under Communication Constraints
R. Fonseca
B. Nadler
FedML
441
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09 Jan 2023
Uncertainty quantification for sparse Fourier recovery
F. Hoppe
Felix Krahmer
C. M. Verdun
Marion I. Menzel
Holger Rauhut
413
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30 Dec 2022
Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm
Xiudi Li
Abolfazl Safikhani
Ali Shojaie
548
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14 Oct 2022
Small Tuning Parameter Selection for the Debiased Lasso
Akira Shinkyu
N. Sueishi
264
2
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18 Aug 2022
Optimal tuning-free convex relaxation for noisy matrix completion
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Yuepeng Yang
Cong Ma
398
8
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12 Jul 2022
Noise Covariance Estimation in Multi-Task High-dimensional Linear Models
Bernoulli (Bernoulli), 2022
Kai Tan
Gabriel Romon
Pierre C. Bellec
269
6
0
15 Jun 2022
A zero-estimator approach for estimating the signal level in a high-dimensional model-free setting
Journal of Statistical Planning and Inference (JSPI), 2022
Ilan Livne
David Azriel
Y. Goldberg
184
1
0
11 May 2022
An efficient GPU-Parallel Coordinate Descent Algorithm for Sparse Precision Matrix Estimation via Scaled Lasso
Computational statistics (Zeitschrift) (CSZ), 2022
Seunghwan Lee
Sang Cheol Kim
Donghyeon Yu
218
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28 Mar 2022
Are Latent Factor Regression and Sparse Regression Adequate?
Journal of the American Statistical Association (JASA), 2022
Jianqing Fan
Zhipeng Lou
Mengxin Yu
CML
318
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02 Mar 2022
Misspecification Analysis of High-Dimensional Random Effects Models for Estimation of Signal-to-Noise Ratios
Xiaohan Hu
Xiaodong Li
351
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13 Feb 2022
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression
Masahiro Kato
Masaaki Imaizumi
CML
OOD
288
1
0
10 Feb 2022
High-dimensional inference via hybrid orthogonalization
Yang Li
Zemin Zheng
Jia Zhou
Ziwei Zhu
193
3
0
26 Nov 2021
High-dimensional regression with potential prior information on variable importance
Statistics and computing (Stat Comput), 2021
B. Stokell
Rajen Dinesh Shah
279
0
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23 Sep 2021
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models
The R Journal (R Journal), 2021
Prabrisha Rakshit
Zhenyu Wang
T. Tony Cai
Zijian Guo
262
3
0
07 Sep 2021
Controlling the False Split Rate in Tree-Based Aggregation
Journal of the American Statistical Association (JASA), 2021
Simeng Shao
Jacob Bien
Adel Javanmard
246
1
0
11 Aug 2021
Bayesian
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regression
Journal of Computational And Graphical Statistics (JCGS), 2021
X. Ke
Yanan Fan
239
1
0
07 Aug 2021
Chi-square and normal inference in high-dimensional multi-task regression
Pierre C. Bellec
Gabriel Romon
231
3
0
16 Jul 2021
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity
Zeyu Wu
Cheng-Long Wang
Weidong Liu
301
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07 Jul 2021
Improved Estimators for Semi-supervised High-dimensional Regression Model
Electronic Journal of Statistics (EJS), 2021
Ilan Livne
David Azriel
Y. Goldberg
235
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14 Feb 2021
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies
Journal of the American Statistical Association (JASA), 2020
Zijian Guo
484
24
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15 Nov 2020
Estimation of the
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2
l_2
l
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-norm and testing in sparse linear regression with unknown variance
Alexandra Carpentier
O. Collier
L. Comminges
Alexandre B. Tsybakov
Yuhao Wang
199
10
0
26 Oct 2020
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R
Xingguo Li
T. Zhao
Xiaoming Yuan
Han Liu
270
78
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27 Jun 2020
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python
J. Ge
Xingguo Li
Haoming Jiang
Han Liu
Tong Zhang
Mengdi Wang
T. Zhao
229
37
0
27 Jun 2020
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality
Sai Li
T. Tony Cai
Hongzhe Li
305
255
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18 Jun 2020
Scalable Interpretable Learning for Multi-Response Error-in-Variables Regression
J. Wu
Z. Zheng
Jian Wang
Yuhui Zhang
286
5
0
11 May 2020
Support recovery and sup-norm convergence rates for sparse pivotal estimation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Mathurin Massias
Quentin Bertrand
Alexandre Gramfort
Joseph Salmon
384
4
0
15 Jan 2020
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data
Xi Chen
Ye Luo
Martin Spindler
154
0
0
30 Dec 2019
De-biasing convex regularized estimators and interval estimation in linear models
Annals of Statistics (Ann. Stat.), 2019
Pierre C. Bellec
Cun-Hui Zhang
569
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26 Dec 2019
A Simple Correction Procedure for High-Dimensional Generalized Linear Models with Measurement Error
M. Byrd
M. McGee
158
1
0
26 Dec 2019
Generalized Residual Ratio Thresholding
Signal Processing (Signal Process.), 2019
Sreejith Kallummil
Sheetal Kalyani
247
4
0
18 Dec 2019
Statistical significance in high-dimensional linear mixed models
Foundations of Data Science Conference (FODS), 2019
Lina Lin
Mathias Drton
Ali Shojaie
356
5
0
16 Dec 2019
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis
Journal of the American Statistical Association (JASA), 2019
Y. Deshpande
Adel Javanmard
M. Mehrabi
AI4TS
643
40
0
04 Nov 2019
Multi-subject MEG/EEG source imaging with sparse multi-task regression
NeuroImage (NeuroImage), 2019
H. Janati
Yonas T. Tadesse
Bertrand Thirion
Marco Cuturi
Alexandre Gramfort
298
33
0
03 Oct 2019
Double-estimation-friendly inference for high-dimensional misspecified models
Statistical Science (Statist. Sci.), 2019
Rajen Dinesh Shah
Peter Buhlmann
441
10
0
24 Sep 2019
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
T. Tony Cai
Anru R. Zhang
Yuchen Zhou
188
31
0
21 Sep 2019
A new reproducing kernel based nonlinear dimension reduction method for survival data
Scandinavian Journal of Statistics (Scand. J. Stat.), 2019
Wenquan Cui
Jianjun Xu
Yuehua Wu
176
1
0
05 Sep 2019
A Survey of Tuning Parameter Selection for High-dimensional Regression
Annual Review of Statistics and Its Application (ARSIA), 2019
Y. Wu
Lan Wang
359
40
0
10 Aug 2019
Goodness-of-fit testing in high-dimensional generalized linear models
Jana Janková
Rajen Dinesh Shah
Peter Buhlmann
R. Samworth
359
38
0
09 Aug 2019
Reluctant Interaction Modeling
Guo Yu
Jacob Bien
Robert Tibshirani
441
23
0
19 Jul 2019
Iteratively Reweighted
ℓ
1
\ell_1
ℓ
1
-Penalized Robust Regression
Xiaoou Pan
Qiang Sun
Wen-Xin Zhou
340
4
0
09 Jul 2019
The cost-free nature of optimally tuning Tikhonov regularizers and other ordered smoothers
International Conference on Machine Learning (ICML), 2019
Pierre C. Bellec
Dana Yang
248
8
0
29 May 2019
Learning Gaussian DAGs from Network Data
Hangjian Li
Oscar Hernan Madrid Padilla
Qing Zhou
CML
407
3
0
26 May 2019
Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models
Tianxi Cai
Tony Cai
Zijian Guo
CML
LM&MA
226
13
0
29 Apr 2019
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems
Peipei Tang
Chengjing Wang
Defeng Sun
Kim-Chuan Toh
315
28
0
27 Mar 2019
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