Nathan Srebro

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

Coauthor Index

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

Colors in the list of coauthors