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Ching-Pei Lee
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2020 – today
- 2023
- [j6]Ching-Pei Lee:
Accelerating inexact successive quadratic approximation for regularized optimization through manifold identification. Math. Program. 201(1): 599-633 (2023) - 2022
- [j5]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): 543-591 (2022) - 2020
- [j4]Ching-Pei Lee, Kai-Wei Chang:
Distributed block-diagonal approximation methods for regularized empirical risk minimization. Mach. Learn. 109(4): 813-852 (2020) - [c6]Yu-Sheng Li, Wei-Lin Chiang, Ching-Pei Lee:
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization. ICML 2020: 5842-5852
2010 – 2019
- 2019
- [j3]Po-Wei Wang, Ching-Pei Lee, Chih-Jen Lin:
The Common-directions Method for Regularized Empirical Risk Minimization. J. Mach. Learn. Res. 20: 58:1-58:49 (2019) - 2018
- [c5]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: 504-512 - 2017
- [c4]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: 732-740 - 2015
- [c3]Ching-Pei Lee, Dan Roth:
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM. ICML 2015: 987-996 - [i1]Ching-Pei Lee, Kai-Wei Chang, Shyam Upadhyay, Dan Roth:
Distributed Training of Structured SVM. CoRR abs/1506.02620 (2015) - 2014
- [j2]Ching-Pei Lee, Chih-Jen Lin:
Large-Scale Linear RankSVM. Neural Comput. 26(4): 781-817 (2014) - [c2]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: 519-528 - [c1]Tzu-Ming Kuo, Ching-Pei Lee, Chih-Jen Lin:
Large-scale Kernel RankSVM. SDM 2014: 812-820 - 2013
- [j1]Ching-Pei Lee, Chih-Jen Lin:
A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM. Neural Comput. 25(5): 1302-1323 (2013)
Coauthor Index
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