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Nathan Srebro :
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Nathan Srebro , Shai Ben-David Learning Bounds for Support Vector Machines with Learned Kernels. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:169-183 [Conf ] Nathan Srebro , Adi Shraibman Rank, Trace-Norm and Max-Norm. [Citation Graph (0, 0)][DBLP ] COLT, 2005, pp:545-560 [Conf ] Jason D. M. Rennie , Nathan Srebro Fast maximum margin matrix factorization for collaborative prediction. [Citation Graph (0, 0)][DBLP ] ICML, 2005, pp:713-719 [Conf ] Nathan Srebro , Tommi Jaakkola Weighted Low-Rank Approximations. [Citation Graph (0, 0)][DBLP ] ICML, 2003, pp:720-727 [Conf ] Nathan Srebro , Gregory Shakhnarovich , Sam Roweis An investigation of computational and informational limits in Gaussian mixture clustering. [Citation Graph (0, 0)][DBLP ] ICML, 2006, pp:865-872 [Conf ] Nathan Srebro , Noga Alon , Tommi Jaakkola Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices. [Citation Graph (0, 0)][DBLP ] NIPS, 2004, pp:- [Conf ] Nathan Srebro , Tommi Jaakkola Linear Dependent Dimensionality Reduction. [Citation Graph (0, 0)][DBLP ] NIPS, 2003, pp:- [Conf ] Nathan Srebro , Jason D. M. Rennie , Tommi Jaakkola Maximum-Margin Matrix Factorization. [Citation Graph (0, 0)][DBLP ] NIPS, 2004, pp:- [Conf ] David R. Karger , Nathan Srebro Learning Markov networks: maximum bounded tree-width graphs. [Citation Graph (0, 0)][DBLP ] SODA, 2001, pp:392-401 [Conf ] Nathan Srebro Maximum Likelihood Bounded Tree-Width Markov Networks. [Citation Graph (0, 0)][DBLP ] UAI, 2001, pp:504-511 [Conf ] Ziv Bar-Joseph , Erik D. Demaine , David K. Gifford , Angèle M. Hamel , Tommi Jaakkola , Nathan Srebro K-ary Clustering with Optimal Leaf Ordering for Gene Expression Data. [Citation Graph (0, 0)][DBLP ] WABI, 2002, pp:506-520 [Conf ] Nathan Srebro Maximum likelihood bounded tree-width Markov networks. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 2003, v:143, n:1, pp:123-138 [Journal ] Ziv Bar-Joseph , Erik D. Demaine , David K. Gifford , Nathan Srebro , Angèle M. Hamel , Tommi Jaakkola K-ary Clustering with Optimal Leaf Ordering for Gene Expression Data. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2003, v:19, n:9, pp:1070-1078 [Journal ] Nathan Srebro How Good Is a Kernel When Used as a Similarity Measure? [Citation Graph (0, 0)][DBLP ] COLT, 2007, pp:323-335 [Conf ] Saharon Rosset , Grzegorz Swirszcz , Nathan Srebro , Ji Zhu l 1 Regularization in Infinite Dimensional Feature Spaces. [Citation Graph (0, 0)][DBLP ] COLT, 2007, pp:544-558 [Conf ] Nathan Srebro Are There Local Maxima in the Infinite-Sample Likelihood of Gaussian Mixture Estimation? [Citation Graph (0, 0)][DBLP ] COLT, 2007, pp:628-629 [Conf ] Shai Shalev-Shwartz , Yoram Singer , Nathan Srebro Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. [Citation Graph (0, 0)][DBLP ] ICML, 2007, pp:807-814 [Conf ] Yonatan Amit , Michael Fink 0002 , Nathan Srebro , Shimon Ullman Uncovering shared structures in multiclass classification. [Citation Graph (0, 0)][DBLP ] ICML, 2007, pp:17-24 [Conf ] Improved Guarantees for Learning via Similarity Functions. [Citation Graph (, )][DBLP ] SVM optimization: inverse dependence on training set size. [Citation Graph (, )][DBLP ] Fast Rates for Regularized Objectives. [Citation Graph (, )][DBLP ] Complexity of Inference in Graphical Models. [Citation Graph (, )][DBLP ] Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm [Citation Graph (, )][DBLP ] Search in 0.058secs, Finished in 0.059secs