Paper Citation Record · LEDGER

Gradient-based optimization for variational empirical Bayes multiple regression

As of 21 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2411.14570.

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2411.14570 v1

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Outbound references

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This paper cites Studies in the history of probability and statistics XL Boscovich, Simpson and a 1760 manuscript note on fitting a linear relation.

Gradient-based optimization for variational empirical Bayes multiple regression Studies in the history of probability and statistics XL Boscovich, Simpson and a 1760 manuscript note on fitting a linear relation

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Gradient-based optimization for variational empirical Bayes multiple regression Statistical challenges of high-dimensional data

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Gradient-based optimization for variational empirical Bayes multiple regression Statistical learning with sparsity

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Gradient-based optimization for variational empirical Bayes multiple regression ℓ1 Trend Filtering

Reference 4

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Gradient-based optimization for variational empirical Bayes multiple regression Adaptive piecewise polynomial estimation via trend filtering

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Gradient-based optimization for variational empirical Bayes multiple regression V on Storch and F

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Gradient-based optimization for variational empirical Bayes multiple regression High-Dimensional Statistics with a View Toward Applications in Biology

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Gradient-based optimization for variational empirical Bayes multiple regression Economic Predictions With Big Data: The Illusion of Sparsity

Reference 10

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This paper cites Bayesian Variable Selection Regression for Genome-wide Association Studies and Other Large-Scale Problems.

Gradient-based optimization for variational empirical Bayes multiple regression Bayesian Variable Selection Regression for Genome-wide Association Studies and Other Large-Scale Problems

Reference 11

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This paper cites Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies.

Gradient-based optimization for variational empirical Bayes multiple regression Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies

Reference 12

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This paper cites A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping.

Gradient-based optimization for variational empirical Bayes multiple regression A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping

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Gradient-based optimization for variational empirical Bayes multiple regression Polygenic Modeling with Bayesian Sparse Linear Mixed Models

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This paper cites A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with appli- cation to the UK Biobank.

Gradient-based optimization for variational empirical Bayes multiple regression A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with appli- cation to the UK Biobank

Reference 15

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This paper cites Gene selection in cancer classification using sparse logistic regression with Bayesian regularization.

Gradient-based optimization for variational empirical Bayes multiple regression Gene selection in cancer classification using sparse logistic regression with Bayesian regularization

Reference 17

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This paper cites On Time Series Analysis of Public Health and Biomedical Data.

Gradient-based optimization for variational empirical Bayes multiple regression On Time Series Analysis of Public Health and Biomedical Data

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This paper cites Building Better Models: Prediction, Replication, and Machine Learning in the Social Sciences.

Gradient-based optimization for variational empirical Bayes multiple regression Building Better Models: Prediction, Replication, and Machine Learning in the Social Sciences

Reference 19

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Gradient-based optimization for variational empirical Bayes multiple regression Text Regression Analysis: A Review, Empirical, and Experimental Insights

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Gradient-based optimization for variational empirical Bayes multiple regression Ridge Regression: Biased Estimation for Nonorthogonal Problems

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Gradient-based optimization for variational empirical Bayes multiple regression Regression Shrinkage and Selection via the Lasso

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Gradient-based optimization for variational empirical Bayes multiple regression Regularization and Variable Selection Via the Elastic Net

Reference 23

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Gradient-based optimization for variational empirical Bayes multiple regression Bayesian Variable Selection in Linear Regression

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Gradient-based optimization for variational empirical Bayes multiple regression Variable Selection via Gibbs Sampling

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Gradient-based optimization for variational empirical Bayes multiple regression The Bayesian Lasso

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Gradient-based optimization for variational empirical Bayes multiple regression The Bayesian elastic net

Reference 27

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Gradient-based optimization for variational empirical Bayes multiple regression False discovery rates: a new deal

Reference 28

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Gradient-based optimization for variational empirical Bayes multiple regression A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression

Reference 29

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Gradient-based optimization for variational empirical Bayes multiple regression Regularization Paths for Generalized Linear Models via Coordinate Descent

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Gradient-based optimization for variational empirical Bayes multiple regression Ridge Estimators in Logistic Regression

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Gradient-based optimization for variational empirical Bayes multiple regression An algorithm for quadratic programming

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Gradient-based optimization for variational empirical Bayes multiple regression Solving large scale linear prediction problems using stochastic gradient descent algorithms

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Gradient-based optimization for variational empirical Bayes multiple regression Nocedal and S

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Gradient-based optimization for variational empirical Bayes multiple regression Variable Metric Method for Minimization

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Gradient-based optimization for variational empirical Bayes multiple regression Variable Metric Method for Minimization

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Gradient-based optimization for variational empirical Bayes multiple regression On information and sufficiency

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Gradient-based optimization for variational empirical Bayes multiple regression An Introduction to Variational Methods for Graphical Models

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Gradient-based optimization for variational empirical Bayes multiple regression Variational Inference: A Review for Statisticians

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Gradient-based optimization for variational empirical Bayes multiple regression Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, vol. 1: Contributions to the Theory of Statistics

Reference 41

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Gradient-based optimization for variational empirical Bayes multiple regression Trisection algorithms

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Gradient-based optimization for variational empirical Bayes multiple regression Fast Switch and Spline Function Inversion Algorithm with Multistep Optimiza- tion and k-Vector Search for Solving Kepler’s Equation in Celestial Mechanics

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Gradient-based optimization for variational empirical Bayes multiple regression On the limited memory BFGS method for large scale optimization

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Gradient-based optimization for variational empirical Bayes multiple regression A Limited Memory Algorithm for Bound Constrained Optimization

Reference 45

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Gradient-based optimization for variational empirical Bayes multiple regression Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization

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Gradient-based optimization for variational empirical Bayes multiple regression Stochastic Variational Inference

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Gradient-based optimization for variational empirical Bayes multiple regression Black Box Variational Inference

Reference 48

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Gradient-based optimization for variational empirical Bayes multiple regression Automatic Differentiation Variational Inference

Reference 49

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