Variable Selection Via Thompson Sampling (Q6107208)

scientific article; zbMATH DE number 7705992

Language	Label	Description	Also known as
English	Variable Selection Via Thompson Sampling	scientific article; zbMATH DE number 7705992

Statements

instance of

scholarly article

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title

Variable Selection Via Thompson Sampling (English)

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Journal of the American Statistical Association

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publication date

3 July 2023

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full work available at URL

https://arxiv.org/abs/2007.00187

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https://figshare.com/articles/journal_contribution/Variable_Selection_via_Thompson_Sampling_Revision_/14582277

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zbMATH Keywords

BART

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combinatorial bandits

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interpretable machine learning

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spike-and-slab

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Thompson sampling

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variable selection

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MaRDI profile type

MaRDI publication profile

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cites work

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Optimal predictive model selection.

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Random forests

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Pure Exploration in Multi-armed Bandits Problems

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Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection

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Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies

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The horseshoe estimator for sparse signals

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Bayesian linear regression with sparse priors

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Combinatorial bandits

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BART: Bayesian additive regression trees

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Q3093383

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Sure Independence Screening for Ultrahigh Dimensional Feature Space

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All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously

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Variable importance in binary regression trees and forests

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Online rules for control of false discovery rate and false discovery exceedance

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Bayesian Model Selection in High-Dimensional Settings

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Rodeo: Sparse, greedy nonparametric regression

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Asymptotically efficient adaptive allocation rules

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Distribution-Free Predictive Inference For Regression

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Feature Screening via Distance Correlation Learning

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Bayesian Neural Networks for Selection of Drug Sensitive Genes

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Component selection and smoothing in multivariate nonparametric regression

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Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection

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Bayesian Regression Tree Ensembles that Adapt to Smoothness and Sparsity

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Variable Selection with ABC Bayesian Forests

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Bayesian Variable Selection in Linear Regression

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Bayesian variable selection with shrinking and diffusing priors

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On Shapley Value for Measuring Importance of Dependent Inputs

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Variable Selection Using Adaptive Nonlinear Interaction Structures in High Dimensions

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Sparse Additive Models

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EMVS: The EM Approach to Bayesian Variable Selection

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The Spike-and-Slab LASSO

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Q5817870

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Regression Shrinkage and Selection via The Lasso: A Retrospective

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Uncertainty quantification for the horseshoe (with discussion)

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Adaptive neural network control for strict-feedback nonlinear systems using backstepping design

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Q3174023

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Identifiers

zbMATH Open document ID

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10.1080/01621459.2021.1928514

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:6107208