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Nathan Srebro

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2008
23EEMaria-Florina Balcan, Avrim Blum, Nathan Srebro: Improved Guarantees for Learning via Similarity Functions. COLT 2008: 287-298
22EEShai Shalev-Shwartz, Nathan Srebro: SVM optimization: inverse dependence on training set size. ICML 2008: 928-935
21EEKarthik Sridharan, Shai Shalev-Shwartz, Nathan Srebro: Fast Rates for Regularized Objectives. NIPS 2008: 1545-1552
20EEVenkat Chandrasekaran, Nathan Srebro, Prahladh Harsha: Complexity of Inference in Graphical Models. UAI 2008: 70-78
19EEMaria-Florina Balcan, Avrim Blum, Nathan Srebro: A theory of learning with similarity functions. Machine Learning 72(1-2): 89-112 (2008)
2007
18EENathan Srebro: How Good Is a Kernel When Used as a Similarity Measure? COLT 2007: 323-335
17EESaharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu: l1 Regularization in Infinite Dimensional Feature Spaces. COLT 2007: 544-558
16EENathan Srebro: Are There Local Maxima in the Infinite-Sample Likelihood of Gaussian Mixture Estimation? COLT 2007: 628-629
15EEYonatan Amit, Michael Fink, Nathan Srebro, Shimon Ullman: Uncovering shared structures in multiclass classification. ICML 2007: 17-24
14EEShai Shalev-Shwartz, Yoram Singer, Nathan Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. ICML 2007: 807-814
2006
13EENathan Srebro, Shai Ben-David: Learning Bounds for Support Vector Machines with Learned Kernels. COLT 2006: 169-183
12EENathan Srebro, Gregory Shakhnarovich, Sam T. Roweis: An investigation of computational and informational limits in Gaussian mixture clustering. ICML 2006: 865-872
2005
11EENathan Srebro, Adi Shraibman: Rank, Trace-Norm and Max-Norm. COLT 2005: 545-560
10EEJason D. M. Rennie, Nathan Srebro: Fast maximum margin matrix factorization for collaborative prediction. ICML 2005: 713-719
2004
9EENathan Srebro, Noga Alon, Tommi Jaakkola: Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices. NIPS 2004
8EENathan Srebro, Jason D. M. Rennie, Tommi Jaakkola: Maximum-Margin Matrix Factorization. NIPS 2004
2003
7 Nathan Srebro, Tommi Jaakkola: Weighted Low-Rank Approximations. ICML 2003: 720-727
6EENathan Srebro, Tommi Jaakkola: Linear Dependent Dimensionality Reduction. NIPS 2003
5EENathan Srebro: Maximum likelihood bounded tree-width Markov networks. Artif. Intell. 143(1): 123-138 (2003)
4 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. Bioinformatics 19(9): 1070-1078 (2003)
2002
3EEZiv 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. WABI 2002: 506-520
2001
2EEDavid R. Karger, Nathan Srebro: Learning Markov networks: maximum bounded tree-width graphs. SODA 2001: 392-401
1EENathan Srebro: Maximum Likelihood Bounded Tree-Width Markov Networks. UAI 2001: 504-511

Coauthor Index

1Noga Alon [9]
2Yonatan Amit [15]
3Maria-Florina Balcan (Maria-Florina Popa) [19] [23]
4Ziv Bar-Joseph [3] [4]
5Shai Ben-David [13]
6Avrim Blum [19] [23]
7Venkat Chandrasekaran [20]
8Erik D. Demaine [3] [4]
9Michael Fink [15]
10David K. Gifford [3] [4]
11Angèle M. Hamel [3] [4]
12Prahladh Harsha [20]
13Tommi Jaakkola [3] [4] [6] [7] [8] [9]
14David R. Karger [2]
15Jason D. M. Rennie [8] [10]
16Saharon Rosset [17]
17Sam T. Roweis [12]
18Gregory Shakhnarovich [12]
19Shai Shalev-Shwartz [14] [21] [22]
20Adi Shraibman [11]
21Yoram Singer [14]
22Karthik Sridharan [21]
23Grzegorz Swirszcz [17]
24Shimon Ullman [15]
25Ji Zhu [17]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)