Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1306.3171
Cited By
v1
v2 (latest)
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Journal of machine learning research (JMLR), 2013
13 June 2013
Adel Javanmard
Andrea Montanari
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Confidence Intervals and Hypothesis Testing for High-Dimensional Regression"
50 / 300 papers shown
Information Directed Sampling for Sparse Linear Bandits
Neural Information Processing Systems (NeurIPS), 2021
Botao Hao
Tor Lattimore
Wei Deng
226
21
0
29 May 2021
The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters
Statistical Science (Statist. Sci.), 2021
Niloofar Moosavi
J. Haggstrom
X. de Luna
231
16
0
05 May 2021
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction
Journal of machine learning research (JMLR), 2021
Jue Hou
Zijian Guo
Tianxi Cai
264
20
0
04 May 2021
Causal Inference with Invalid Instruments: Post-selection Problems and A Solution Using Searching and Sampling
Zijian Guo
CML
346
15
0
14 Apr 2021
Divide-and-conquer methods for big data analysis
Xueying Chen
Jerry Q. Cheng
Min‐ge Xie
148
9
0
22 Feb 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
Journal of machine learning research (JMLR), 2021
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
299
12
0
19 Feb 2021
High-dimensional inference robust to outliers with l1-norm penalization
Jad Beyhum
342
1
0
28 Dec 2020
Characterization of Excess Risk for Locally Strongly Convex Population Risk
Neural Information Processing Systems (NeurIPS), 2020
Mingyang Yi
Ruoyu Wang
Zhi-Ming Ma
340
3
0
04 Dec 2020
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
Annals of Statistics (Ann. Stat.), 2020
Yuhao Wang
Rajen Dinesh Shah
368
18
0
17 Nov 2020
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies
Journal of the American Statistical Association (JASA), 2020
Zijian Guo
370
20
0
15 Nov 2020
High-Dimensional Sparse Linear Bandits
Botao Hao
Tor Lattimore
Mengdi Wang
301
70
0
08 Nov 2020
Design of
c
c
c
-Optimal Experiments for High dimensional Linear Models
Hamid Eftekhari
Moulinath Banerjee
Yaácov Ritov
227
2
0
23 Oct 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso
Jérôme-Alexis Chevalier
Alexandre Gramfort
Joseph Salmon
Bertrand Thirion
328
10
0
29 Sep 2020
Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap
Annals of Statistics (Ann. Stat.), 2020
Yunyi Zhang
D. Politis
292
14
0
17 Sep 2020
Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data
Y. Ning
Sida Peng
Jing Tao
215
6
0
07 Sep 2020
Semi-Supervised Empirical Risk Minimization: Using unlabeled data to improve prediction
Electronic Journal of Statistics (EJS), 2020
Oren Yuval
Saharon Rosset
273
4
0
01 Sep 2020
Sparse Confidence Sets for Normal Mean Models
Y. Ning
Guang Cheng
235
2
0
17 Aug 2020
The Lasso with general Gaussian designs with applications to hypothesis testing
Annals of Statistics (Ann. Stat.), 2020
Michael Celentano
Andrea Montanari
Yuting Wei
487
70
0
27 Jul 2020
Lasso Inference for High-Dimensional Time Series
R. Adámek
Stephan Smeekes
Ines Wilms
AI4TS
514
45
0
21 Jul 2020
Causal Feature Selection via Orthogonal Search
Ashkan Soleymani
Anant Raj
Stefan Bauer
Bernhard Schölkopf
M. Besserve
CML
280
19
0
06 Jul 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Changxiao Cai
H. Vincent Poor
Yuxin Chen
300
24
0
15 Jun 2020
The leave-one-covariate-out conditional randomization test
Eugene Katsevich
Aaditya Ramdas
CML
185
2
0
15 Jun 2020
Detangling robustness in high dimensions: composite versus model-averaged estimation
Electronic Journal of Statistics (EJS), 2020
Jing Zhou
G. Claeskens
Jelena Bradic
133
3
0
12 Jun 2020
Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding
Annals of Statistics (Ann. Stat.), 2020
Zijian Guo
Domagoj Cevid
Peter Buhlmann
CML
249
56
0
08 Apr 2020
Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing
Production and operations management (POM), 2020
Yining Wang
Xi Chen
Xiangyu Chang
Dongdong Ge
281
19
0
16 Mar 2020
The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance
Bernoulli (Bernoulli), 2020
Qian Zhao
Pragya Sur
Emmanuel J. Candès
206
42
0
25 Jan 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
Journal of machine learning research (JMLR), 2019
Nathan Kallus
Xiaojie Mao
Masatoshi Uehara
329
37
0
30 Dec 2019
Minimax Semiparametric Learning With Approximate Sparsity
Jelena Bradic
Victor Chernozhukov
Whitney Newey
Yinchu Zhu
501
23
0
27 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
494
21
0
26 Dec 2019
Statistical significance in high-dimensional linear mixed models
Foundations of Data Science Conference (FODS), 2019
Lina Lin
Mathias Drton
Ali Shojaie
319
5
0
16 Dec 2019
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
Abhishek Chakrabortty
Jiarui Lu
T. Tony Cai
Hongzhe Li
182
7
0
26 Nov 2019
Integrative Factor Regression and Its Inference for Multimodal Data Analysis
Journal of the American Statistical Association (JASA), 2019
Quefeng Li
Lexin Li
254
36
0
11 Nov 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
528
39
0
04 Nov 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
157
28
0
21 Sep 2019
Inference In High-dimensional Single-Index Models Under Symmetric Designs
Hamid Eftekhari
Moulinath Banerjee
Yaácov Ritov
229
2
0
08 Sep 2019
Statistical Inferences of Linear Forms for Noisy Matrix Completion
Dong Xia
M. Yuan
312
48
0
31 Aug 2019
Optimal estimation of functionals of high-dimensional mean and covariance matrix
Jianqing Fan
Haolei Weng
Yifeng Zhou
258
8
0
20 Aug 2019
Goodness-of-fit testing in high-dimensional generalized linear models
Jana Janková
Rajen Dinesh Shah
Peter Buhlmann
R. Samworth
266
37
0
09 Aug 2019
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Journal of machine learning research (JMLR), 2019
Haiwei Yang
Ling Zhou
Lu Tang
P. Song
287
5
0
04 Aug 2019
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
Zijian Guo
Wei Yuan
Cun-Hui Zhang
246
3
0
30 Jul 2019
LassoNet: A Neural Network with Feature Sparsity
Journal of machine learning research (JMLR), 2019
Ismael Lemhadri
Feng Ruan
L. Abraham
Robert Tibshirani
787
163
0
29 Jul 2019
Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates
Journal of the American Statistical Association (JASA), 2019
Jue Hou
Jelena Bradic
R. Xu
CML
122
1
0
29 Jun 2019
Multiple Testing and Variable Selection along the path of the Least Angle Regression
Jean-marc Azais
Yohann De Castro
344
1
0
28 Jun 2019
Distributed High-dimensional Regression Under a Quantile Loss Function
Journal of machine learning research (JMLR), 2019
Xi Chen
Weidong Liu
Xiaojun Mao
Zhuoyi Yang
274
87
0
13 Jun 2019
Inference robust to outliers with l1-norm penalization
Jad Beyhum
83
1
0
04 Jun 2019
Sparsity Double Robust Inference of Average Treatment Effects
Jelena Bradic
Stefan Wager
Yinchu Zhu
CML
198
45
0
02 May 2019
Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models
Tianxi Cai
Tony Cai
Zijian Guo
CML
LM&MA
173
13
0
29 Apr 2019
Omitted variable bias of Lasso-based inference methods: A finite sample analysis
Review of Economics and Statistics (REStat), 2019
Kaspar Wüthrich
Ying Zhu
500
33
0
20 Mar 2019
Inference Without Compatibility
Michael Law
Yaácov Ritov
166
1
0
14 Mar 2019
Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications
Statistics in Biosciences (Stat. Biosci.), 2019
P. Combettes
Christian L. Müller
269
25
0
04 Mar 2019
Previous
1
2
3
4
5
6
Next
