Suggested Papers/Readings

Support Vector Regression
Bishop: Section 7.1.4 Hastie, Tibshirani, Friedman: Section 12.3.5

A. Banerjee, S. Merugu, I. Dhillon and J. Ghosh. Clustering with Bregman Divergences. Journal of Machine Learning Research (JMLR), 2005.

Xu, L., Neufeld, J., Larson, B. and Schuurmans, D. Maximum Margin Clustering. In Advances in Neural Information Processing Systems, 2004.

D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, 1999.

T. Hofmann. Probabilistic Latent Semantic Indexing. Proceedings of the 22nd International Conference on Research and Development in Information Retrieval (SIGIR'99), 1999.

E. Gaussier and C. Goutte. Relation between PLSA and NMF and Implications. Proceedings of the 28th annual international ACM SIGIR conference, 2005.

I. Dhillon, Y. Guan, B. Kulis. Weighted Graph Cuts without Eigenvectors: A Multilevel Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007.

K. Lang. Fixing Two Weaknesses of the Spectral Method. Advances in Neural Information Processing Systems. vol. 18, 2005.

J. Kleinberg. Authoritative sources in a hyperlinked environment. Proc. 9th ACM-SIAM Symposium on Discrete Algorithms, 1998.

I. S. Dhillon, S. Mallela, and D. S. Modha. Information-Theoretic Co-clustering. Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD), 2003.

A. Banerjee, I. S. Dhillon, J. Ghosh, S. Merugu, and D. S. Modha. A Generalized Maximum Entropy Approach to Bregman Co-Clustering and Matrix Approximations. Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD), 2004.

H. Zou, T. Hastie, and R. Tibshirani. Sparse Principal Component Analysis., JCGS, 2004.

A. d'Aspremont, L. El Ghaoui, M. I. Jordan, and G. R. G. Lanckriet. A direct formulation for sparse PCA using semidefinite programming. SIAM Review, 2006.

T. George and S. Merugu. A Scalable Collaborative Filtering Framework based on Co-clustering. Proceedings of the 5th IEEE Conference on Data Mining (ICDM), Nov 2005.

H. Cho, I. S. Dhillon, Y. Guan, and S. Sra. Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data. Proceedings of the Fourth SIAM International Conference on Data Mining, pages 114-125, April 2004.

J. Rennie and N. Srebro. Fast Maximum Margin Matrix Factorization for Collaborative Prediction. ICML, 2005.

N. Srebro, J. Rennie and T. Jaakkola. Maximum Margin Matrix Factorization. Advances in Neural Information Processing Systems (NIPS) 17, 2005.