Variable selection with error control: Another look at Stability Selection

27 May 2011

Papers citing "Variable selection with error control: Another look at Stability Selection"

50 / 77 papers shown

Title
Bayesian Stability Selection and Inference on Inclusion Probabilities Mahdi Nouraie Connor Smith Samuel Muller 23 0 0 29 Oct 2024
Stabilizing black-box model selection with the inflated argmax Melissa Adrian Jake A. Soloff Rebecca Willett 30 0 0 23 Oct 2024
Nonparametric IPSS: Fast, flexible feature selection with false discovery control Omar Melikechi David B. Dunson Jeffrey W. Miller 81 0 0 03 Oct 2024
Replica Analysis for Ensemble Techniques in Variable Selection Takashi Takahashi 13 0 0 29 Aug 2024
Integrated path stability selection Omar Melikechi Jeffrey W. Miller 16 1 0 23 Mar 2024
penalizedclr: an R package for penalized conditional logistic regression for integration of multiple omics layers Vera Djordjilović Erica Ponzi T. Nøst M. Thoresen 14 2 0 02 Feb 2024
Stab-GKnock: Controlled variable selection for partially linear models using generalized knockoffs Han Su Panxu Yuan Qingyang Sun Mengxi Yi Gaorong Li 19 0 0 27 Nov 2023
Algorithmic stability implies training-conditional coverage for distribution-free prediction methods Ruiting Liang Rina Foygel Barber 27 6 0 07 Nov 2023
Assessing the overall and partial causal well-specification of nonlinear additive noise models Christoph Schultheiss Peter Bühlmann CML 16 1 0 25 Oct 2023
Model Selection over Partially Ordered Sets Armeen Taeb Peter Bühlmann V. Chandrasekaran 12 5 0 20 Aug 2023
$Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities$ Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities Genevera I. Allen Luqin Gan Lili Zheng 16 9 0 02 Aug 2023
Bagging Provides Assumption-free Stability Jake A. Soloff Rina Foygel Barber Rebecca Willett 19 9 0 30 Jan 2023
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values F. R. Guo Rajen Dinesh Shah 16 14 0 06 Jan 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 27 7 0 30 Dec 2022
Causal discovery under a confounder blanket David S. Watson Ricardo M. A. Silva CML 11 2 0 11 May 2022
Infinite-Dimensional Sparse Learning in Linear System Identification Mingzhou Yin Mehmet Tolga Akan A. Iannelli Roy S. Smith 6 2 0 28 Mar 2022
Flexible variable selection in the presence of missing data Brian D. Williamson Ying Huang 12 0 0 25 Feb 2022
TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening Zijian Ding Jiawen Kang HO TinkyOiTing Ka Ho WONG H. Fung Helen M. Meng Xiaojuan Ma 9 19 0 16 Feb 2022
Loss-guided Stability Selection Tino Werner 14 3 0 10 Feb 2022
Cluster Stability Selection Gregory Faletto Jacob Bien 26 4 0 03 Jan 2022
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control Jasin Machkour Michael Muma Daniel P. Palomar 16 11 0 12 Oct 2021
Employing an Adjusted Stability Measure for Multi-Criteria Model Fitting on Data Sets with Similar Features Andrea Bommert Jörg Rahnenführer Michel Lang 20 0 0 15 Jun 2021
A New Perspective on Debiasing Linear Regressions Yufei Yi Matey Neykov 21 2 0 08 Apr 2021
Forward Stability and Model Path Selection N. Kissel L. Mentch 16 13 0 05 Mar 2021
View selection in multi-view stacking: Choosing the meta-learner Wouter van Loon M. Fokkema Botond Szabó M. Rooij 18 4 0 30 Oct 2020
Feature Selection for Huge Data via Minipatch Learning Tianyi Yao Genevera I. Allen 9 9 0 16 Oct 2020
Tuning-free ridge estimators for high-dimensional generalized linear models Shih-Ting Huang Fang Xie Johannes Lederer 6 3 0 27 Feb 2020
Statistical significance in high-dimensional linear mixed models Lina Lin Mathias Drton Ali Shojaie 16 5 0 16 Dec 2019
Random projections: data perturbation for classification problems T. Cannings 11 20 0 25 Nov 2019
Goodness-of-fit testing in high-dimensional generalized linear models Jana Janková Rajen Dinesh Shah Peter Buhlmann R. Samworth 14 30 0 09 Aug 2019
Stability selection enables robust learning of partial differential equations from limited noisy data S. Maddu B. Cheeseman I. Sbalzarini Christian L. Müller 11 19 0 17 Jul 2019
On Selecting Stable Predictors in Time Series Models A. Bijral 10 1 0 18 May 2019
High-dimensional variable selection via low-dimensional adaptive learning C. Staerk M. Kateri I. Ntzoufras 12 7 0 17 Apr 2019
A Global Bias-Correction DC Method for Biased Estimation under Memory Constraint Lu Lin Feng Li 24 1 0 16 Apr 2019
FRI -- Feature Relevance Intervals for Interpretable and Interactive Data Exploration Lukas Pfannschmidt Christina Göpfert Ursula Neumann D. Heider Barbara Hammer CML 15 7 0 02 Mar 2019
On the Properties of Simulation-based Estimators in High Dimensions S. Guerrier Mucyo Karemera Samuel Orso Maria-Pia Victoria-Feser 7 2 0 10 Oct 2018
Inference for $L_2$ -Boosting David Rügamer S. Greven 4 0 0 04 May 2018
Prediction Error Bounds for Linear Regression With the TREX Jacob Bien Irina Gaynanova Johannes Lederer Christian L. Müller 25 18 0 04 Jan 2018
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs Yingying Fan Emre Demirkaya Gaorong Li Jinchi Lv 15 70 0 31 Aug 2017
In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p Jim Griffin Krys Latuszynski M. Steel AI4TS 8 34 0 18 Aug 2017
Inference for high-dimensional instrumental variables regression David Gold Johannes Lederer Jing Tao 9 37 0 18 Aug 2017
Boosting Functional Regression Models with FDboost S. Brockhaus David Rügamer S. Greven 6 40 0 30 May 2017
Pruning variable selection ensembles Chunxia Zhang Yilei Wu Mu Zhu 31 8 0 26 Apr 2017
Mixed Graphical Models for Causal Analysis of Multi-modal Variables A. Sedgewick Joseph Ramsey Peter Spirtes Clark Glymour P. Benos CML 6 9 0 09 Apr 2017
An update on statistical boosting in biomedicine A. Mayr B. Hofner Elisabeth Waldmann Tobias Hepp O. Gefeller S. Meyer 11 32 0 27 Feb 2017
Probing for sparse and fast variable selection with model-based boosting Janek Thomas Tobias Hepp A. Mayr B. Bischl 6 29 0 15 Feb 2017
Network classification with applications to brain connectomics Jesús D Arroyo Relión Daniel A Kessler Elizaveta Levina S. Taylor 16 72 0 27 Jan 2017
Stability Enhanced Large-Margin Classifier Selection W. Sun Guang Cheng Yufeng Liu 11 1 0 20 Jan 2017
Stability selection for component-wise gradient boosting in multiple dimensions Janek Thomas A. Mayr B. Bischl M. Schmid Adam Smith B. Hofner 22 66 0 30 Nov 2016
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference Alessandro Rinaldo Larry A. Wasserman M. G'Sell Jing Lei 16 91 0 16 Nov 2016