Year |
Citation |
Score |
2014 |
Wang J, Srebro N, Evans J. Active collaborative permutation learning Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 502-511. DOI: 10.1145/2623330.2623730 |
0.569 |
|
2014 |
Shamir O, Srebro N. Distributed stochastic optimization and learning 2014 52nd Annual Allerton Conference On Communication, Control, and Computing, Allerton 2014. 850-857. DOI: 10.1109/ALLERTON.2014.7028543 |
0.498 |
|
2013 |
Sabato S, Srebro N, Tishby N. Distribution-dependent sample complexity of large margin learning Journal of Machine Learning Research. 14: 2119-2149. |
0.592 |
|
2013 |
Cotter A, Srebro N, Shalev-Shwartz S. Learning optimally sparse support vector machines 30th International Conference On Machine Learning, Icml 2013. 266-274. |
0.418 |
|
2013 |
Sabato S, Sarwate AD, Srebro N. Auditing: Active learning with outcome-dependent query costs Advances in Neural Information Processing Systems. |
0.396 |
|
2011 |
Hazan E, Koren T, Srebro N. Beating SGD: Learning SVMs in sublinear time Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
0.576 |
|
2011 |
Foygel R, Salakhutdinov R, Shamir O, Srebro N. Learning with the weighted trace-norm under arbitrary sampling distributions Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
0.56 |
|
2011 |
Zhou X, Srebro N. Error analysis of laplacian eigenmaps for semi-supervised learning Journal of Machine Learning Research. 15: 901-908. |
0.474 |
|
2011 |
Bijral AS, Ratliff N, Srebro N. Semi-supervised learning with density based distances Proceedings of the 27th Conference On Uncertainty in Artificial Intelligence, Uai 2011. 43-60. |
0.516 |
|
2010 |
Salakhutdinov R, Srebro N. Collaborative filtering in a non-uniform world: Learning with the weighted trace norm Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.379 |
|
2010 |
Liang P, Srebro N. On the interaction between norm and dimensionality: Multiple regimes in learning Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 647-654. |
0.521 |
|
2010 |
Sabato S, Srebro N, Tishby N. Reducing label complexity by learning from bags Journal of Machine Learning Research. 9: 685-692. |
0.575 |
|
2010 |
Sabato S, Srebro N, Tishby N. Tight sample complexity of large-margin learning Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.601 |
|
2009 |
Shalev-Shwartz S, Shamir O, Srebro N, Sridharan K. Learnability and stability in the general learning setting Colt 2009 - the 22nd Conference On Learning Theory. |
0.504 |
|
2009 |
Nadler B, Srebro N, Zhou X. Semi-supervised learning with the graph laplacian: The limit of infinite unlabelled data Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1331-1338. |
0.451 |
|
2008 |
Balcan MF, Blum A, Srebro N. A theory of learning with similarity functions Machine Learning. 72: 89-112. DOI: 10.1007/S10994-008-5059-5 |
0.329 |
|
2008 |
Balcan MF, Blum A, Srebro N. Improved guarantees for learning via similarity functions 21st Annual Conference On Learning Theory, Colt 2008. 287-298. |
0.548 |
|
2006 |
Srebro N, Ben-David S. Learning bounds for support vector machines with learned kernels Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4005: 169-183. |
0.56 |
|
2001 |
Karger D, Srebro N. Learning Markov networks: Maximum bounded tree-width graphs Proceedings of the Annual Acm-Siam Symposium On Discrete Algorithms. 392-401. |
0.371 |
|
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