Ching-Pei Lee

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 6

Top Topics

Perceptron Learning

Linear Support Vector Machines

Empirical Risk Minimization

Top Venues

Publications

Ching-Pei Lee, Po-Wei Wang, Chih-Jen Lin
Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization. Math. Program. Comput. 14 (3) (2022)
Yu-Sheng Li, Wei-Lin Chiang, Ching-Pei Lee
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization. ICML (2020)
Ching-Pei Lee, Kai-Wei Chang
Distributed block-diagonal approximation methods for regularized empirical risk minimization. Mach. Learn. 109 (4) (2020)
Po-Wei Wang, Ching-Pei Lee, Chih-Jen Lin
The Common-directions Method for Regularized Empirical Risk Minimization. J. Mach. Learn. Res. 20 (2019)
Wei-Lin Chiang, Yu-Sheng Li, Ching-Pei Lee, Chih-Jen Lin
Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification. SDM (2018)
Ching-Pei Lee, Po-Wei Wang, Weizhu Chen, Chih-Jen Lin
Limited-memory Common-directions Method for Distributed Optimization and its Application on Empirical Risk Minimization. SDM (2017)
Ching-Pei Lee, Kai-Wei Chang, Shyam Upadhyay, Dan Roth
Distributed Training of Structured SVM. CoRR (2015)
Ching-Pei Lee, Dan Roth
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM. ICML (2015)
Ching-Pei Lee, Chih-Jen Lin
Large-Scale Linear RankSVM. Neural Comput. 26 (4) (2014)
Tzu-Ming Kuo, Ching-Pei Lee, Chih-Jen Lin
Large-scale Kernel RankSVM. SDM (2014)
Chieh-Yen Lin, Cheng-Hao Tsai, Ching-Pei Lee, Chih-Jen Lin
Large-scale logistic regression and linear support vector machines using spark. IEEE BigData (2014)
Ching-Pei Lee, Chih-Jen Lin
A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM. Neural Comput. 25 (5) (2013)