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Confidence Intervals and Hypothesis Testing for High-Dimensional Regression

Journal of machine learning research (JMLR), 2013

13 June 2013

Adel Javanmard

Andrea Montanari

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Papers citing "Confidence Intervals and Hypothesis Testing for High-Dimensional Regression"

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Title
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference Niloofar Ramezani Martin Slawski 114 0 0 26 Jul 2025
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework Abhineet Agarwal Michael Xiao Rebecca L. Barter Omer Ronen Boyu Fan Bin Yu 196 6 0 13 May 2025
Transfer Learning for High-dimensional Reduced Rank Time Series ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Mingliang Ma Abolfazl Safikhani AI4TS 215 0 0 22 Apr 2025
Fast Debiasing of the LASSO Estimator Shuvayan Banerjee James Saunderson Radhendushka Srivastava Ajit V. Rajwade 187 0 0 27 Feb 2025
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance Yilin Zhang Songshan Yang Y. Wu Lan Wang 402 0 0 19 Nov 2024
Linear Causal Bandits: Unknown Graph and Soft InterventionsNeural Information Processing Systems (NeurIPS), 2024 Zirui Yan A. Tajer CML 220 3 0 04 Nov 2024
Statistical Inference on High Dimensional Gaussian Graphical Regression Models Xuran Meng Jingfei Zhang Yi Li 172 1 0 03 Nov 2024
Statistical Inference in Classification of High-dimensional Gaussian Mixture Hanwen Huang Peng Zeng 202 0 0 25 Oct 2024
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data Alokesh Manna Zijian Huang Dipak K. Dey Yuwen Gu Robin He 326 3 0 01 Oct 2024
Double-Estimation-Friendly Inference for High Dimensional Misspecified Measurement Error Models Shijie Cui Xu Guo Runze Li Songshan Yang Zhe Zhang 145 0 0 24 Sep 2024
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models Huali Zhao Tianying Wang 148 1 0 11 Sep 2024
Robust Non-adaptive Group Testing under Errors in Group Membership Specifications Shuvayan Banerjee Radhendushka Srivastava James Saunderson Ajit V. Rajwade 168 1 0 09 Sep 2024
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization Ziliang Samuel Zhong Shuyang Ling 201 1 0 12 Aug 2024
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks Zhe Fei Yi Li AI4CE 203 0 0 22 Jul 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 297 2 0 18 Jul 2024
High-Dimensional Confidence Regions in Sparse MRI Frederik Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 225 6 0 18 Jul 2024
With or Without Replacement? Improving Confidence in Fourier Imaging Frederik Hoppe C. M. Verdun Felix Krahmer Marion I. Menzel Holger Rauhut 228 0 0 18 Jul 2024
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression I. Castillo Alice L'Huillier Kolyan Ray Luke Travis 218 0 0 18 Jun 2024
Task-Agnostic Machine Learning-Assisted Inference J. Miao Qiongshi Lu 208 5 0 30 May 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods Yihan Zhang Marco Mondelli 229 4 0 22 May 2024
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Jingbo Liu 230 0 0 05 May 2024
A replica analysis of under-bagging Takashi Takahashi 330 3 0 15 Apr 2024
Covariance Regression with High-Dimensional Predictors Yuheng He Changliang Zou Yi Zhao 198 0 0 10 Apr 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression Zelin He Ying Sun Jingyuan Liu Runze Li OOD 234 18 0 01 Apr 2024
Uniform-over-dimension convergence with application to location tests for high-dimensional data Joydeep Chowdhury S. Dutta M. Genton 144 0 0 24 Mar 2024
Integrated path stability selectionJournal of the American Statistical Association (JASA), 2024 Omar Melikechi Jeffrey W. Miller 284 3 0 23 Mar 2024
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary InformationJournal of the American Statistical Association (JASA), 2024 Shujie Ma Po-Yao Niu Yichong Zhang Yinchu Zhu 198 5 0 22 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 258 1 0 05 Mar 2024
Applied Causal Inference Powered by ML and AI Victor Chernozhukov Christian Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis CML 278 47 0 04 Mar 2024
High-Dimensional Tail Index Regression: with An Application to Text Analyses of Viral Posts in Social Media Yuya Sasaki Jing Tao Yulong Wang 212 0 0 02 Mar 2024
Debiased LASSO under Poisson-Gauss Model Pedro Abdalla Gil Kur 146 0 0 26 Feb 2024
A structured regression approach for evaluating model performance across intersectional subgroupsConference on Fairness, Accountability and Transparency (FAccT), 2024 Christine Herlihy Kimberly Truong Alexandra Chouldechova Miroslav Dudik 267 6 0 26 Jan 2024
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression Masahiro Kato Masaaki Imaizumi CML 232 2 0 25 Oct 2023
Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator CoefficientsTest (Madrid) (TM), 2023 Yinan Lin Zijian Guo Baoluo Sun Zhenhua Lin 182 3 0 09 Oct 2023
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and InferenceNeural Information Processing Systems (NeurIPS), 2023 Licong Lin Mufang Ying Suvrojit Ghosh K. Khamaru Cun-Hui Zhang 226 3 0 01 Oct 2023
Uncertainty quantification for learned ISTAInternational Workshop on Machine Learning for Signal Processing (MLSP), 2023 Frederik Hoppe C. M. Verdun Felix Krahmer Hannah Laus Holger Rauhut UQCV 193 4 0 14 Sep 2023
Simultaneous inference for generalized linear models with unmeasured confounders Jin-Hong Du Larry Wasserman Kathryn Roeder 394 9 0 13 Sep 2023
Anytime Model Selection in Linear BanditsNeural Information Processing Systems (NeurIPS), 2023 Parnian Kassraie N. Emmenegger Andreas Krause Aldo Pacchiano 289 7 0 24 Jul 2023
Adaptive debiased machine learning using data-driven model selection techniques L. Laan M. Carone Alexander Luedtke Mark van der Laan 214 12 0 24 Jul 2023
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear ModelsMetrika (Heidelberg) (MH), 2023 Xiaorui Zhu Yi Qin Peng Wang 206 0 0 14 Jul 2023
A Model-free Closeness-of-influence Test for Features in Supervised LearningInternational Conference on Machine Learning (ICML), 2023 M. Mehrabi Ryan A. Rossi TDI 174 1 0 20 Jun 2023
Distributed Semi-Supervised Sparse Statistical InferenceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023 Jiyuan Tu Weidong Liu Xiaojun Mao Mingyue Xu 328 4 0 17 Jun 2023
Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach Si Cheng J. Wakefield Ali Shojaie 188 0 0 11 Jun 2023
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity Lin Liu Yuhao Wang 220 1 0 07 May 2023
Penalized Likelihood Inference with Survey Data J. Jasiak Purevdorj Tuvaandorj 164 2 0 16 Apr 2023
A review of distributed statistical inferenceStatistical Theory and Related Fields (STRF), 2021 Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 206 53 0 13 Apr 2023
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 353 4 0 08 Mar 2023
Semi-parametric inference based on adaptively collected data Licong Lin K. Khamaru Martin J. Wainwright OffRL 229 7 0 05 Mar 2023
Communication-Efficient Distributed Estimation and Inference for Cox's ModelJournal of the American Statistical Association (JASA), 2023 Pierre Bayle Jianqing Fan Zhipeng Lou 388 4 0 23 Feb 2023
Mixed Semi-Supervised Generalized-Linear-Regression with Applications to Deep-Learning and Interpolators Yuval Oren Saharon Rosset 257 1 0 19 Feb 2023