| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu |
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope.  |
Journal of Machine Learning Research - Proceedings Track  |
2012 |
DBLP BibTeX RDF |
|
| 1 | Ali Jalali, Nathan Srebro |
Clustering using Max-norm Constrained Optimization |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Andreas Argyriou, Rina Foygel, Nathan Srebro |
Sparse Prediction with the k-Overlap Norm |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Andrew Cotter, Shai Shalev-Shwartz, Nathan Srebro |
The Kernelized Stochastic Batch Perceptron |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Avleen Singh Bijral, Nathan D. Ratliff, Nathan Srebro |
Semi-supervised Learning with Density Based Distances |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Sivan Sabato, Nati Srebro, Naftali Tishby |
Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Rina Foygel, Nathan Srebro |
Concentration-Based Guarantees for Low-Rank Matrix Reconstruction. |
Journal of Machine Learning Research - Proceedings Track |
2011 |
DBLP BibTeX RDF |
|
| 1 | Xueyuan Zhou, Nathan Srebro |
Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning. |
Journal of Machine Learning Research - Proceedings Track |
2011 |
DBLP BibTeX RDF |
|
| 1 | Andrew Cotter, Ohad Shamir, Nathan Srebro, Karthik Sridharan |
Better Mini-Batch Algorithms via Accelerated Gradient Methods |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Rina Foygel, Nathan Srebro |
Concentration-Based Guarantees for Low-Rank Matrix Reconstruction |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Nathan Srebro, Karthik Sridharan, Ambuj Tewari |
On the Universality of Online Mirror Descent |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Andrew Cotter, Joseph Keshet, Nathan Srebro |
Explicit Approximations of the Gaussian Kernel |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Rina Foygel, Ruslan Salakhutdinov, Ohad Shamir, Nathan Srebro |
Learning with the Weighted Trace-norm under Arbitrary Sampling Distributions |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter |
Pegasos: primal estimated sub-gradient solver for SVM. |
Math. Program. |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Avleen Singh Bijral, Nathan D. Ratliff, Nathan Srebro |
Semi-supervised Learning with Density Based Distances. |
UAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Andrew Cotter, Nathan Srebro, Joseph Keshet |
A GPU-tailored approach for training kernelized SVMs. |
KDD |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Xueyuan Zhou, Mikhail Belkin, Nathan Srebro |
An iterated graph laplacian approach for ranking on manifolds. |
KDD |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Elad Hazan, Tomer Koren, Nati Srebro |
Beating SGD: Learning SVMs in Sublinear Time. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | Rina Foygel, Ruslan Salakhutdinov, Ohad Shamir, Nati Srebro |
Learning with the weighted trace-norm under arbitrary sampling distributions. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | Nati Srebro, Karthik Sridharan, Ambuj Tewari |
On the Universality of Online Mirror Descent. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | Andrew Cotter, Ohad Shamir, Nati Srebro, Karthik Sridharan |
Better Mini-Batch Algorithms via Accelerated Gradient Methods. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | Shai Shalev-Shwartz, Nathan Srebro, Tong Zhang |
Trading Accuracy for Sparsity in Optimization Problems with Sparsity Constraints. |
SIAM Journal on Optimization |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, Karthik Sridharan |
Learnability, Stability and Uniform Convergence. |
Journal of Machine Learning Research |
2010 |
DBLP BibTeX RDF |
|
| 1 | Sivan Sabato, Nathan Srebro, Naftali Tishby |
Reducing Label Complexity by Learning From Bags. |
Journal of Machine Learning Research - Proceedings Track |
2010 |
DBLP BibTeX RDF |
|
| 1 | Nathan Srebro, Karthik Sridharan, Ambuj Tewari |
Smoothness, Low-Noise and Fast Rates |
CoRR |
2010 |
DBLP BibTeX RDF |
|
| 1 | Ruslan Salakhutdinov, Nathan Srebro |
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm |
CoRR |
2010 |
DBLP BibTeX RDF |
|
| 1 | Sivan Sabato, Nathan Srebro, Naftali Tishby |
Tight Sample Complexity of Large-Margin Learning |
CoRR |
2010 |
DBLP BibTeX RDF |
|
| 1 | Jason Lee, Ben Recht, Ruslan Salakhutdinov, Nathan Srebro, Joel A. Tropp |
Practical Large-Scale Optimization for Max-norm Regularization. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Nathan Srebro, Karthik Sridharan, Ambuj Tewari |
Smoothness, Low Noise and Fast Rates. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Ruslan Salakhutdinov, Nathan Srebro |
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Sivan Sabato, Nathan Srebro, Naftali Tishby |
Tight Sample Complexity of Large-Margin Learning. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Percy Liang, Nati Srebro |
On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning. |
ICML |
2010 |
DBLP BibTeX RDF |
|
| 1 | Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, Karthik Sridharan |
Learnability and Stability in the General Learning Setting. |
COLT |
2009 |
DBLP BibTeX RDF |
|
| 1 | Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, Karthik Sridharan |
Stochastic Convex Optimization. |
COLT |
2009 |
DBLP BibTeX RDF |
|
| 1 | Boaz Nadler, Nathan Srebro, Xueyuan Zhou |
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Maria-Florina Balcan, Avrim Blum, Nathan Srebro |
A theory of learning with similarity functions. |
Machine Learning |
2008 |
DBLP DOI BibTeX RDF |
Kernel functions, Similarity functions, Margins |
| 1 | Shai Shalev-Shwartz, Nathan Srebro |
SVM optimization: inverse dependence on training set size. |
ICML |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Venkat Chandrasekaran, Nathan Srebro, Prahladh Harsha |
Complexity of Inference in Graphical Models. |
UAI |
2008 |
DBLP BibTeX RDF |
|
| 1 | Maria-Florina Balcan, Avrim Blum, Nathan Srebro |
Improved Guarantees for Learning via Similarity Functions. |
COLT |
2008 |
DBLP BibTeX RDF |
|
| 1 | Karthik Sridharan, Shai Shalev-Shwartz, Nathan Srebro |
Fast Rates for Regularized Objectives. |
NIPS |
2008 |
DBLP BibTeX RDF |
|
| 1 | Yonatan Amit, Michael Fink 0002, Nathan Srebro, Shimon Ullman |
Uncovering shared structures in multiclass classification. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro |
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathan Srebro |
Are There Local Maxima in the Infinite-Sample Likelihood of Gaussian Mixture Estimation? |
COLT |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu |
l1 Regularization in Infinite Dimensional Feature Spaces. |
COLT |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathan Srebro |
How Good Is a Kernel When Used as a Similarity Measure? |
COLT |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathan Srebro, Gregory Shakhnarovich, Sam T. Roweis |
An investigation of computational and informational limits in Gaussian mixture clustering. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathan Srebro, Shai Ben-David |
Learning Bounds for Support Vector Machines with Learned Kernels. |
COLT |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Jason D. M. Rennie, Nathan Srebro |
Fast maximum margin matrix factorization for collaborative prediction. |
ICML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathan Srebro, Adi Shraibman |
Rank, Trace-Norm and Max-Norm. |
COLT |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathan Srebro, Noga Alon, Tommi Jaakkola |
Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | Nathan Srebro, Jason D. M. Rennie, Tommi Jaakkola |
Maximum-Margin Matrix Factorization. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | 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 |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathan Srebro |
Maximum likelihood bounded tree-width Markov networks. |
Artif. Intell. |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathan Srebro, Tommi Jaakkola |
Weighted Low-Rank Approximations. |
ICML |
2003 |
DBLP BibTeX RDF |
|
| 1 | Nathan Srebro, Tommi Jaakkola |
Linear Dependent Dimensionality Reduction. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | David R. Karger, Nathan Srebro |
Learning Markov networks: maximum bounded tree-width graphs. |
SODA |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathan Srebro |
Maximum Likelihood Bounded Tree-Width Markov Networks. |
UAI |
2001 |
DBLP BibTeX RDF |
|
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