LEE Ching-pei
LEE Ching-pei
Verified email at stat.sinica.edu.tw - Homepage
Title
Cited by
Cited by
Year
Large-scale linear ranksvm
CP Lee, CJ Lin
Neural computation 26 (4), 781-817, 2014
1222014
Large-scale logistic regression and linear support vector machines using spark
CY Lin, CH Tsai, CP Lee, CJ Lin
2014 IEEE International Conference on Big Data (Big Data), 519-528, 2014
1022014
A revisit to support vector data description
WC Chang, CP Lee, CJ Lin
Dept. Comput. Sci., Nat. Taiwan Univ., Taipei, Taiwan, Tech. Rep, 2013
682013
Distributed box-constrained quadratic optimization for dual linear SVM
CP Lee, D Roth
International Conference on Machine Learning, 987-996, 2015
522015
A study on L2-loss (squared hinge-loss) multiclass SVM
CP Lee, CJ Lin
Neural computation 25 (5), 1302-1323, 2013
462013
Large-scale kernel rankSVM
TM Kuo, CP Lee, CJ Lin
Proceedings of the 2014 SIAM international conference on data mining, 812-820, 2014
402014
Random permutations fix a worst case for cyclic coordinate descent
CP Lee, SJ Wright
IMA Journal of Numerical Analysis 39 (3), 1246-1275, 2019
302019
Inexact successive quadratic approximation for regularized optimization
C Lee, SJ Wright
Computational Optimization and Applications 72 (3), 641-674, 2019
172019
Analyzing random permutations for cyclic coordinate descent
S Wright, C Lee
Mathematics of Computation 89, 2217-2248, 2020
162020
A distributed quasi-newton algorithm for empirical risk minimization with nonsmooth regularization
C Lee, CH Lim, SJ Wright
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
152018
Limited-memory common-directions method for distributed optimization and its application on empirical risk minimization
CP Lee, PW Wang, W Chen, CJ Lin
Proceedings of the 2017 SIAM International Conference on Data Mining, 732-740, 2017
102017
Distributed block-diagonal approximation methods for regularized empirical risk minimization
C Lee, KW Chang
Machine Learning 109, 813-852, 2020
92020
Distributed training of structured SVM
C Lee, KW Chang, S Upadhyay, D Roth
arXiv preprint arXiv:1506.02620, 2015
82015
Using neural networks to detect line outages from PMU data
C Lee, SJ Wright
arXiv preprint arXiv:1710.05916, 2017
72017
The Common-directions Method for Regularized Empirical Risk Minimization.
PW Wang, C Lee, CJ Lin
J. Mach. Learn. Res. 20, 58:1-58:49, 2019
62019
First-Order Algorithms Converge Faster than on Convex Problems
C Lee, S Wright
International Conference on Machine Learning, 3754-3762, 2019
52019
Inexact variable metric stochastic block-coordinate descent for regularized optimization
C Lee, SJ Wright
Journal of Optimization Theory and Applications 185, 151-187, 2020
22020
A distributed quasi-Newton algorithm for primal and dual regularized empirical risk minimization
C Lee, CH Lim, SJ Wright
arXiv preprint arXiv:1912.06508, 2019
12019
Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification
WL Chiang, YS Li, C Lee, CJ Lin
Proceedings of the 2018 SIAM International Conference on Data Mining, 504-512, 2018
12018
On the Iterate Convergence and Manifold Identification of Inexact Proximal-Newton-Type Methods Under a Sharpness Condition
C Lee
arXiv preprint arXiv:2012.02522, 2020
2020
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Articles 1–20