Chih-Jen Lin

19 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems — Journal of Machine Learning Research 2021
• The Common-directions Method for Regularized Empirical Risk Minimization — Journal of Machine Learning Research 2019
• LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems — Journal of Machine Learning Research 2016
• Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013 — Journal of Machine Learning Research 2015
• Effective String Processing and Matching for Author Disambiguation — Journal of Machine Learning Research 2014
• Iteration Complexity of Feasible Descent Methods for Convex Optimization — Journal of Machine Learning Research 2014
• Large-scale Linear Support Vector Regression — Journal of Machine Learning Research 2012
• An Improved GLMNET for L1-regularized Logistic Regression — Journal of Machine Learning Research 2012
• A Bayesian Approximation Method for Online Ranking — Journal of Machine Learning Research 2011
• Training and Testing Low-degree Polynomial Data Mappings via Linear SVM — Journal of Machine Learning Research 2010
• A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification — Journal of Machine Learning Research 2010
• Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models — Journal of Machine Learning Research 2010
• Trust Region Newton Method for Logistic Regression — Journal of Machine Learning Research 2008
• Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines — Journal of Machine Learning Research 2008
• LIBLINEAR: A Library for Large Linear Classification — Journal of Machine Learning Research 2008
• Ranking Individuals by Group Comparisons — Journal of Machine Learning Research 2008
• Generalized Bradley-Terry Models and Multi-Class Probability Estimates — Journal of Machine Learning Research 2006
• Working Set Selection Using Second Order Information for Training Support Vector Machines — Journal of Machine Learning Research 2005
• Probability Estimates for Multi-class Classification by Pairwise Coupling — Journal of Machine Learning Research 2004