Cho-Jui Hsieh

Cho-Jui Hsieh is a person.

• See: LIBLINEAR, Covariance Matrix, Non-Linear Kernel-based SVM Algorithm.

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References

• Google Scholar Author Page: https://scholar.google.com/citations?user=Wy89g4IAAAAJ
• http://www.stat.ucdavis.edu/~chohsieh/

2017

• (Yi et al., 2017) ⇒ Jinfeng Yi, Cho-Jui Hsieh, Kush R Varshney, Lijun Zhang, and Yao Li. (2017). “Scalable Demand-Aware Recommendation.” In: Advances in Neural Information Processing Systems 30.

2015

• (Hsieh et al., 2015) ⇒ Cho-Jui Hsieh, Nagarajan Natarajan, and Inderjit S Dhillon. (2015). “PU Learning for Matrix Completion.” In: Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37.

2012

• (Hsieh et al., 2012) ⇒ Cho-Jui Hsieh, Kai-Yang Chiang, and Inderjit S. Dhillon. (2012). “Low Rank Modeling of Signed Networks.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339612
• (Yu et al., 2012) ⇒ Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, and Inderjit Dhillon. (2012). “Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems.” In: Data Mining (ICDM), 2012 IEEE 12th International Conference on, pp. 765-774 . IEEE,

2011

• (Hsieh et al., 2011) ⇒ Cho-Jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar, and Mátyás A. Sustik. (2011). “Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation.” In: Advances in Neural Information Processing Systems, pp. 2330-2338.
• (Hsieh & Dhillon, 2011) ⇒ Cho-Jui Hsieh, and Inderjit S. Dhillon. (2011). “Fast Coordinate Descent Methods with Variable Selection for Non-negative Matrix Factorization.” In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011) Journal. ISBN:978-1-4503-0813-7 doi:10.1145/2020408.2020577

2010

• (Chang et al., 2010) ⇒ Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, and Chih-Jen Lin. (2010). “Training and Testing Low-degree Polynomial Data Mappings via Linear SVM.” In: The Journal of Machine Learning Research, 11.
• (Yu et al., 2010) ⇒ Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, and Chih-Jen Lin. (2010). “Large Linear Classification When Data Cannot Fit in Memory.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835910

2008

• (Fan et al., 2008) ⇒ Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin. (2008). “LIBLINEAR: A Library for Large Linear Classification.” In: The Journal of Machine Learning Research, 9
• (Keerthi et al., 2008) ⇒ S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, and Chih-Jen Lin. (2008). “A Sequential Dual Method for Large Scale Multi-class Linear Svms.” In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2008). doi:10.1145/1401890.1401942

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