Search the dblp DataBase

Publications of Author

1. 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]
   
2. Nathan Srebro, Adi Shraibman
   Rank, Trace-Norm and Max-Norm. [Citation Graph (0, 0)][DBLP]
   COLT, 2005, pp:545-560 [Conf]
   
3. 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]
   
4. Nathan Srebro, Tommi Jaakkola
   Weighted Low-Rank Approximations. [Citation Graph (0, 0)][DBLP]
   ICML, 2003, pp:720-727 [Conf]
   
5. 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]
   
6. 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]
   
7. Nathan Srebro, Tommi Jaakkola
   Linear Dependent Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
   NIPS, 2003, pp:- [Conf]
   
8. Nathan Srebro, Jason D. M. Rennie, Tommi Jaakkola
   Maximum-Margin Matrix Factorization. [Citation Graph (0, 0)][DBLP]
   NIPS, 2004, pp:- [Conf]
   
9. David R. Karger, Nathan Srebro
   Learning Markov networks: maximum bounded tree-width graphs. [Citation Graph (0, 0)][DBLP]
   SODA, 2001, pp:392-401 [Conf]
   
10. Nathan Srebro
    Maximum Likelihood Bounded Tree-Width Markov Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:504-511 [Conf]
    
11. 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]
    
12. 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]
    
13. 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]
    
14. Nathan Srebro
    How Good Is a Kernel When Used as a Similarity Measure? [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:323-335 [Conf]
    
15. Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu
    l₁ Regularization in Infinite Dimensional Feature Spaces. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:544-558 [Conf]
    
16. 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]
    
17. 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]
    
18. 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]
    
19. 
    Improved Guarantees for Learning via Similarity Functions. [Citation Graph (, )][DBLP]
    
    
20. 
    SVM optimization: inverse dependence on training set size. [Citation Graph (, )][DBLP]
    
    
21. 
    Fast Rates for Regularized Objectives. [Citation Graph (, )][DBLP]
    
    
22. 
    Complexity of Inference in Graphical Models. [Citation Graph (, )][DBLP]
    
    
23. 
    Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm [Citation Graph (, )][DBLP]