Yoram Singer, Ph.D

Google research, Hebrew University 
Machine Learning
"Yoram Singer"
Mean distance: 17.18 (cluster 17)
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Lee J, Bengio S, Kim S, et al. (2014) Local collaborative ranking Www 2014 - Proceedings of the 23rd International Conference On World Wide Web. 85-95
Stevens M, Bengio S, Singer Y. (2013) Efficient learning of sparse ranking functions Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik. 261-271
Mukherjee I, Canini K, Frongillo R, et al. (2013) Parallel boosting with momentum Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8190: 17-32
Lee J, Kim S, Lebanon G, et al. (2013) Local low-rank matrix approximation 30th International Conference On Machine Learning, Icml 2013. 741-749
Shalev-Shwartz S, Singer Y, Srebro N, et al. (2011) Pegasos: Primal estimated sub-gradient solver for SVM Mathematical Programming. 127: 3-30
Dubiner M, Singer Y. (2011) Entire relaxation path for maximum entropy problems Emnlp 2011 - Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 941-948
Duchi J, Hazan E, Singer Y. (2011) Adaptive subgradient methods for online learning and stochastic optimization Journal of Machine Learning Research. 12: 2121-2159
Shalev-Shwartz S, Singer Y. (2010) On the equivalence of weak learnability and linear separability: New relaxations and efficient boosting algorithms Machine Learning. 80: 141-163
Duchi JC, Shalev-Shwartz S, Singer Y, et al. (2010) Composite objective mirror descent Colt 2010 - the 23rd Conference On Learning Theory. 14-26
Duchi J, Singer Y. (2009) Boosting with structural sparsity Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 297-304
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