Cho-Jui Hsieh

	2012
14		Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Large Linear Classification When Data Cannot Fit in Memory. TKDD 5(4): 23 (2012)
	2011
13		Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Large Linear Classification When Data Cannot Fit in Memory. IJCAI 2011: 2777-2782
12		Cho-Jui Hsieh, Inderjit S. Dhillon: Fast coordinate descent methods with variable selection for non-negative matrix factorization. KDD 2011: 1064-1072
11		Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep D. Ravikumar: Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation. NIPS 2011: 2330-2338
	2010
10		Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Large linear classification when data cannot fit in memory. KDD 2010: 833-842
9		Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, Chih-Jen Lin: Training and Testing Low-degree Polynomial Data Mappings via Linear SVM. Journal of Machine Learning Research 11: 1471-1490 (2010)
8		Guo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification. Journal of Machine Learning Research 11: 3183-3234 (2010)
7		Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models Journal of Machine Learning Research 11: 815-848 (2010)
	2009
6		Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin: Iterative Scaling and Coordinate Descent Methods for Maximum Entropy. ACL/AFNLP (Short Papers) 2009: 285-288
5		Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin: An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. Journal of Machine Learning Research - Proceedings Track 7: 57-64 (2009)
	2008
4		Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan: A dual coordinate descent method for large-scale linear SVM. ICML 2008: 408-415
3		S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: A sequential dual method for large scale multi-class linear svms. KDD 2008: 408-416
2		Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines. Journal of Machine Learning Research 9: 1369-1398 (2008)
1		Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin: LIBLINEAR: A Library for Large Linear Classification. Journal of Machine Learning Research 9: 1871-1874 (2008)

Coauthor Index

1	Kai-Wei Chang	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [13] [14]
2	Yin-Wen Chang	[9]
3	Shang-Tse Chen	[5]
4	Tsung-Hsien Chiang	[5]
5	Inderjit S. Dhillon	[11] [12]
6	Rong-En Fan	[1]
7	Chun-Sung Ferng	[5]
8	Fang-Lan Huang	[6] [7]
9	S. Sathiya Keerthi (Sathiya Keerthi Selvaraj)	[3] [4]
10	Yi-Kuang Ko	[5]
11	Tsung-Ting Kuo	[5]
12	Hung-Che Lai	[5]
13	Chih-Jen Lin	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [13] [14]
14	Hsuan-Tien Lin	[5]
15	Ken-Yi Lin	[5]
16	Shou-De Lin (Shou-de Lin)	[5]
17	Hung-Yi Lo	[5]
18	Pradeep D. Ravikumar	[11]
19	Michael Ringgaard	[9]
20	S. Sundararajan	[3] [4]
21	Mátyás A. Sustik	[11]
22	Chia-Hsuan Wang	[5]
23	Xiang-Rui Wang	[1]
24	Hsiang-Fu Yu	[5] [10] [13] [14]
25	Guo-Xun Yuan	[8]

Colors in the list of coauthors

Last update Sat Jun 2 20:57:36 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page