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On asymptotically optimal confidence regions and tests for high-dimensional models

3 March 2013

Papers citing "On asymptotically optimal confidence regions and tests for high-dimensional models"

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Title
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework Abhineet Agarwal Michael Xiao Rebecca L. Barter Omer Ronen Boyu Fan Bin Yu 72 0 0 13 May 2025
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks Sehwan Kim F. Liang FedML 93 0 0 04 May 2025
Statistically Testing Training Data for Unwanted Error Patterns using Rule-Oriented Regression Stefan Rass Martin Dallinger 102 0 0 24 Mar 2025
Fast Debiasing of the LASSO Estimator Shuvayan Banerjee James Saunderson Radhendushka Srivastava Ajit V. Rajwade 79 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 99 0 0 19 Nov 2024
Debiased Regression for Root-N-Consistent Conditional Mean Estimation Masahiro Kato 111 0 0 18 Nov 2024
Statistical Inference on High Dimensional Gaussian Graphical Regression Models Xuran Meng Jingfei Zhang Yi Li 72 1 0 03 Nov 2024
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis Prabrisha Rakshit Zijian Guo 45 1 0 28 Oct 2024
Statistical Inference in Classification of High-dimensional Gaussian Mixture Hanwen Huang Peng Zeng 49 0 0 25 Oct 2024
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching Daniel J. Williams Leyang Wang Qizhen Ying Song Liu Mladen Kolar 116 2 0 14 Oct 2024
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data Alokesh Manna Zijian Huang Dipak K. Dey Yuwen Gu Robin He 91 1 0 01 Oct 2024
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 158 0 0 29 Sep 2024
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models Huali Zhao Tianying Wang 41 1 0 11 Sep 2024
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks Zhe Fei Yi Li AI4CE 73 1 0 22 Jul 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 92 1 0 18 Jul 2024
High-Dimensional Confidence Regions in Sparse MRI Frederik Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 72 5 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 59 0 0 18 Jul 2024
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression Ismaël Castillo Alice L'Huillier Kolyan Ray Luke Travis 67 0 0 18 Jun 2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification Jiachen Chen Danyang Huang Liyuan Wang Kathryn L. Lunetta Debarghya Mukherjee Huimin Cheng 58 0 0 26 May 2024
Inference with non-differentiable surrogate loss in a general high-dimensional classification framework Muxuan Liang Yang Ning Maureen A Smith Yingqi Zhao 41 0 0 20 May 2024
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Jingbo Liu 73 0 0 05 May 2024
Covariance Regression with High-Dimensional Predictors Yuheng He Changliang Zou Yi Zhao 48 0 0 10 Apr 2024
Learning Directed Acyclic Graphs from Partial Orderings Ali Shojaie Wenyu Chen CML 89 0 0 24 Mar 2024
The Wreaths of KHAN: Uniform Graph Feature Selection with False Discovery Rate Control Jiajun Liang Yue Liu Doudou Zhou Sinian Zhang Junwei Lu 115 0 0 18 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 72 1 0 05 Mar 2024
Applied Causal Inference Powered by ML and AI Victor Chernozhukov Christian Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis CML 84 32 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 62 0 0 02 Mar 2024
Debiased LASSO under Poisson-Gauss Model Pedro Abdalla Gil Kur 46 0 0 26 Feb 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 219 1 0 22 Feb 2024
A structured regression approach for evaluating model performance across intersectional subgroups Christine Herlihy Kimberly Truong Alexandra Chouldechova Miroslav Dudik 72 5 0 26 Jan 2024
Distributional Robustness and Transfer Learning Through Empirical Bayes Michael Law Peter Bühlmann Yaácov Ritov OOD 42 0 0 13 Dec 2023
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression Masahiro Kato Masaaki Imaizumi CML 68 2 0 25 Oct 2023
On Adaptive confidence Ellipsoids for sparse high dimensional linear models Xiaoyang Xie 43 0 0 24 Oct 2023
Sequential Gibbs Posteriors with Applications to Principal Component Analysis Steven Winter Omar Melikechi David B. Dunson 74 2 0 19 Oct 2023
Uncertainty quantification for learned ISTA Frederik Hoppe C. M. Verdun Felix Krahmer Hannah Laus Holger Rauhut UQCV 78 4 0 14 Sep 2023
$Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities$ Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities Genevera I. Allen Luqin Gan Lili Zheng 89 9 0 02 Aug 2023
Adaptive debiased machine learning using data-driven model selection techniques L. Laan M. Carone Alexander Luedtke Mark van der Laan 74 9 0 24 Jul 2023
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models Xiaorui Zhu Yi Qin Peng Wang 80 0 0 14 Jul 2023
Information criteria for structured parameter selection in high dimensional tree and graph models M. Jansen 43 3 0 24 Jun 2023
A Model-free Closeness-of-influence Test for Features in Supervised Learning M. Mehrabi Ryan A. Rossi TDI 67 0 0 20 Jun 2023
Distributed Semi-Supervised Sparse Statistical Inference Jiyuan Tu Weidong Liu Xiaojun Mao Mingyue Xu 46 1 0 17 Jun 2023
Moment-Based Adjustments of Statistical Inference in High-Dimensional Generalized Linear Models Kazuma Sawaya Yoshimasa Uematsu Masaaki Imaizumi 89 2 0 28 May 2023
A parametric distribution for exact post-selection inference with data carving Erik Drysdale 45 1 0 21 May 2023
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity Lin Liu Yuhao Wang 72 0 0 07 May 2023
Penalized Likelihood Inference with Survey Data J. Jasiak Purevdorj Tuvaandorj 40 2 0 16 Apr 2023
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 71 1 0 08 Mar 2023
Communication-Efficient Distributed Estimation and Inference for Cox's Model Pierre Bayle Jianqing Fan Zhipeng Lou 49 1 0 23 Feb 2023
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models T. Tony Cai Zijian Guo Yin Xia 106 7 0 25 Jan 2023
Unbiased estimation and asymptotically valid inference in multivariable Mendelian randomization with many weak instrumental variables Yihe Yang Noah Lorincz-Comi Xiaolin Zhu 41 1 0 12 Jan 2023
Distributed Sparse Linear Regression under Communication Constraints R. Fonseca B. Nadler FedML 74 2 0 09 Jan 2023