Rui Wang

most citedAn Extended Newton-type Algorithm for

ℓ_{2}

-Regularized Sparse Logistic Regression and Its Efficiency for Classifying Large-scale Datasets

16 citations · 16 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2022

Robins-Monro Augmented Lagrangian Method for Stochastic Convex Optimization

Rui Wang, Chao Ding

In this paper, we propose a Robbins-Monro augmented Lagrangian method (RMALM) to solve a class of constrained stochastic convex optimization, which can be regarded as a hybrid of t…

math.OC2019★ 16 cited

An Extended Newton-type Algorithm for $ℓ_{2}$ -Regularized Sparse Logistic Regression and Its Efficiency for Classifying Large-scale Datasets

Rui Wang, Naihua Xiu, Shenglong Zhou

Sparse logistic regression, as an effective tool of classification, has been developed tremendously in recent two decades, from its origination the $ℓ_{1}$ -regularized version to…

Robins-Monro Augmented Lagrangian Method for Stochastic Convex Optimization

An Extended Newton-type Algorithm for ℓ2​-Regularized Sparse Logistic Regression and Its Efficiency for Classifying Large-scale Datasets

An Extended Newton-type Algorithm for $ℓ_{2}$ -Regularized Sparse Logistic Regression and Its Efficiency for Classifying Large-scale Datasets