Yoram Singer

Co-Authors
Google Publications
-
Towards learning a metric for neural prosthetics
Nishal P Shah, Sasidhar Madugula, Alan Litke, Alexander Sher, EJ Chichilnisky, Yoram Singer, Jonathon Shlens
ICLR (2018) (to appear)
-
A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization
Vineet Gupta, Tomer Koren, Yoram Singer
arXiv (2017)
-
Random Features for Compositional Kernels
Amit Daniely, Roy Frostig, Vineet Gupta, Yoram Singer
arXiv (2017)
-
Short and Deep: Sketching and Neural Networks
Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar
ICLR Workshop (2017)
-
LLORMA: Local Low-Rank Matrix Approximation
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio
Journal of Machine Learning Research (JMLR), vol. 17 (2016), pp. 1-24
-
Amit Daniely, Roy Frostig, Yoram Singer
NIPS 2016 (2016)
-
Train faster, generalize better: Stability of stochastic gradient descent
Benjamin Recht, Moritz Hardt, Yoram Singer
arXiv (2015)
-
Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer
Proceedings of the 23rd International World Wide Web Conference (WWW), ACM (2014)
-
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean
International Conference on Learning Representations (2014)
-
Efficient Learning of Sparse Ranking Functions
Mark Stevens, Samy Bengio, Yoram Singer
Empirical Inference, Springer (2013)
-
Local Low-Rank Matrix Approximation
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
Proceedings of the 30th International Conference on Machine Learning (ICML), Journal of Machine Learning Research (2013)
-
Matrix Approximation under Local Low-Rank Assumption
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
The Learning Workshop in International Conference on Learning Representations (ICLR) (2013)
-
Parallel Boosting with Momentum
Indraneel Mukherjee, Kevin Canini, Rafael Frongillo, Yoram Singer
ECML PKDD 2013, Part III, LNAI 8190, Springer, Heidelberg, pp. 17-32 (to appear)
-
Using Web Co-occurrence Statistics for Improving Image Categorization
Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer
arXiv (2013)
-
Entire Relaxation Path for Maximum Entropy Problems
Moshe Dubiner, Yoram Singer
EMNLP 2011 (to appear)
-
Boosting with structural sparsity
John Duchi, Yoram Singer
ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, ACM, New York, NY, USA (2009), pp. 297-304
-
Group Sparse Coding
Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow
Advances in Neural Information Processing Systems (2009)
-
Efficient projections onto the l1-ball for learning in high dimensions
John Duchi, Shai Shalev-Shwartz, Yoram Singer, Tushar Chandra
ICML '08: Proceedings of the 25th international conference on Machine learning, ACM, New York, NY, USA (2008), pp. 272-279
-
Online Learning of Complex Prediction Problems Using Simultaneous Projections
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
J. Mach. Learn. Res., vol. 9 (2008), pp. 1399-1435
-
A Primal-Dual Perspective of Online Learning Algorithms
Shai Shalev-Shwartz, Yoram Singer
Machine Learning, vol. 69, no. 2-3 (2007), pp. 115-142
-
Online learning of multiple tasks with a shared loss
Ofer Dekel, Philip M. Long, Yoram Singer
JMLR, vol. 8 (2007), pp. 2233-2264
-
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra
S. Shalev-Shwartz, Y. Singer
Journal of Machine Learning Research (2006)
-
Online Learning meets Optimization in the Dual
S. Shalev-Shwartz, Y. Singer
Proceedings of the Nineteenth Annual Conference on Computational Learning Theory (2006)
-
Online Multiclass Learning by Interclass Hypothesis Sharing
Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman
Proceedings of the 23rd International Conference on Machine Learning (2006)
-
Online Passive Aggressive Algorithms
K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, Y. Singer
Journal of Machine Learning Research, vol. 7 (2006)
-
A New Perspective on an Old Perceptron Algorithm
S. Shalev-Shwartz, Y. Singer
Proceedings of the Eighteenth Annual Conference on Computational Learning Theory (2005)
-
A New Perspective on an Old Perceptron Algorithm
Shai Shalev-Shwartz, Yoram Singer
COLT (2005), pp. 264-278
-
Data-Driven Online to Batch Conversions
Ofer Dekel, Yoram Singer
NIPS (2005)
-
Loss Bounds for Online Category Ranking
K. Crammer, Y. Singer
Proceedings of the Eighteenth Annual Conference on Computational Learning Theory (2005)
-
Online Ranking by Projecting
K. Crammer, Y. Singer
Neural Computation, vol. 17 (2005)
-
Phoneme Alignment Based on Discriminative Learning
J. Keshet, S. Shalev-Shwartz, Y. Singer, D. Chazan
Interspeech (2005)
-
The Forgetron: A Kernel-Based Perceptron on a Fixed Budget
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
NIPS (2005)
Previous Publications
-
The Forgetron: A Kernel-Based Perceptron on a Budget
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
SIAM J. Comput., vol. 37 (2008), pp. 1342-1372
-
Discriminative Kernel-Based Phoneme Sequence Recognition
J. Keshet, S. Shalev-Shwartz, S. Bengio, Y. Singer, D. Chazan
Proceedings of the International Conference on Spoken Language Processing, Interspeech-ICSLP (2006)
-
Smooth Epsilon-Insensitive Regression by Loss Symmetrization
O. Dekel, S. Shalev-Shwartz, Y. Singer
Journal of Machine Learning Research, vol. 6 (2005), pp. 711-741
-
An Online Algorithm for Hierarchical Phoneme Classification
Ofer Dekel, Joseph Keshet, Yoram Singer
MLMI (2004), pp. 146-158
-
Large Margin Hierarchical Classification
O. Dekel, J. Keshet, Y. Singer
Proceedings of the 21st International Conference on Machine Learning (2004)
-
Learning Theory, 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings
John Shawe-Taylor, Yoram Singer, Editor
Springer (2004)
-
Learning to Align Polyphonic Music
S. Shalev-Shwartz, J. Keshet, Y. Singer
Proceedings of the 5th International Conference on Music Information Retrieval (2004)
-
Learning to Align Polyphonic Music
Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer
ISMIR (2004)
-
Online Algorithm for Hierarchical Phoneme Classification
O. Dekel, J. Keshet, Y. Singer
Workshop on Multimodal Interaction and Related Machine Learning Algorithms; Lecture Notes in Computer Science, Springer-Verlag (2004), pp. 146-159
-
Online and Batch Learning of Pseudo-Metrics
S. Shalev-Shwartz, Y. Singer, A. Ng
Proceedings of the 21st International Conference on Machine Learning (2004)
-
Online and batch learning of pseudo-metrics
Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng
ICML (2004)
-
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
O. Dekel, S. Shalev-Shwartz, Y. Singer
Advances in Neural Information Processing Systems 17 (2004)
-
A Family of Additive Online Algorithms for Category Ranking
Koby Crammer, Yoram Singer
Journal of Machine Learning Research, vol. 3 (2003), pp. 1025-1058
-
Online Passive-Aggressive Algorithms
Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer
NIPS (2003)
-
Boosting for Document Routing
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, Amit Singhal
CIKM (2000), pp. 70-77
-
An Efficient Extension to Mixture Techniques for Prediction and Decision Trees
Fernando C. N. Pereira, Yoram Singer
Machine Learning, vol. 36 (1999), pp. 183-199
-
Boosting and Rocchio Applied to Text Filtering
Robert E. Schapire, Yoram Singer, Amit Singhal
SIGIR (1998), pp. 215-223
-
Shared Context Probabilistic Transducers
Yoshua Bengio, Samy Bengio, Jean-Francois Isabelle, Yoram Singer
Advances in Neural Information Processing Systems, NIPS 10 (1997)
-
Beyond Word N-Grams
Fernando Pereira, Yoram Singer, Naftali Z. Tishby
Proceedings of the Third Workshop on Very Large Corpora, Association for Computational Linguistics, Columbus, Ohio (1995), pp. 95-106