Problem formulations and solvers in linear SVM: a review

A Stochastic Quasi-Newton Method for Large-Scale Optimization

(2016) R. H. Byrd et al.   SIAM JOURNAL ON OPTIMIZATION

Semisupervised Support Vector Machines With Tangent Space Intrinsic Manifold Regularization

(2016) Shiliang Sun et al.   IEEE Transactions on Neural Networks and Learning Systems

Ramp loss least squares support vector machine

(2016) Dalian Liu et al.   Journal of Computational Science

Multi-view twin support vector machines

(2015) Xijiong Xie et al.   Intelligent Data Analysis

Coordinate descent algorithms

(2015) Stephen J. Wright   MATHEMATICAL PROGRAMMING

Parallel coordinate descent methods for big data optimization

(2015) Peter Richtárik et al.   MATHEMATICAL PROGRAMMING

Fuzzy support vector machines for multilabel classification

(2015) Shigeo Abe   PATTERN RECOGNITION

Block Stochastic Gradient Iteration for Convex and Nonconvex Optimization

(2015) Yangyang Xu et al.   SIAM JOURNAL ON OPTIMIZATION

On the complexity analysis of randomized block-coordinate descent methods

(2014) Zhaosong Lu et al.   MATHEMATICAL PROGRAMMING

A Proximal Stochastic Gradient Method with Progressive Variance Reduction

(2014) Lin Xiao et al.   SIAM JOURNAL ON OPTIMIZATION

Block coordinate descent algorithms for large-scale sparse multiclass classification

(2013) Mathieu Blondel et al.   MACHINE LEARNING

A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM

(2013) Ching-Pei Lee et al.   NEURAL COMPUTATION

A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion

(2013) Yangyang Xu et al.   SIAM Journal on Imaging Sciences

On the Convergence of Block Coordinate Descent Type Methods

(2013) Amir Beck et al.   SIAM JOURNAL ON OPTIMIZATION

Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function

(2012) Peter Richtárik et al.   MATHEMATICAL PROGRAMMING

Multitask multiclass support vector machines: Model and experiments

(2012) You Ji et al.   PATTERN RECOGNITION

Recent Advances of Large-Scale Linear Classification

(2012) Guo-Xun Yuan et al.   PROCEEDINGS OF THE IEEE

Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems

(2012) Yu. Nesterov   SIAM JOURNAL ON OPTIMIZATION

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

A review of optimization methodologies in support vector machines

(2011) John Shawe-Taylor et al.   NEUROCOMPUTING

A ν-twin support vector machine (ν-TSVM) classifier and its geometric algorithms

(2010) Xinjun Peng   INFORMATION SCIENCES

Cutting-plane training of structural SVMs

(2009) Thorsten Joachims et al.   MACHINE LEARNING