Yoram Singer

Google Publications

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  A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization

  Vineet Gupta, Tomer Koren, Yoram Singer

  arXiv (2017)

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  Random Features for Compositional Kernels

  Amit Daniely, Roy Frostig, Vineet Gupta, Yoram Singer

  arXiv (2017)

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  Short and Deep: Sketching and Neural Networks

  Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar

  ICLR Workshop (2017)

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  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

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  Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity

  Amit Daniely, Roy Frostig, Yoram Singer

  NIPS 2016 (2016)

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  Train faster, generalize better: Stability of stochastic gradient descent

  Benjamin Recht, Moritz Hardt, Yoram Singer

  arXiv (2015)

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  Local Collaborative Ranking

  Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer

  Proceedings of the 23rd International World Wide Web Conference (WWW), ACM (2014)

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  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)

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  Efficient Learning of Sparse Ranking Functions

  Mark Stevens, Samy Bengio, Yoram Singer

  Empirical Inference, Springer (2013)

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  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)

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  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)

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  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)

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  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)

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  Entire Relaxation Path for Maximum Entropy Problems

  Moshe Dubiner, Yoram Singer

  EMNLP 2011 (to appear)

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  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

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  Group Sparse Coding

  Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow

  Advances in Neural Information Processing Systems (2009)

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  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

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  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

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  A Primal-Dual Perspective of Online Learning Algorithms

  Shai Shalev-Shwartz, Yoram Singer

  Machine Learning, vol. 69, no. 2-3 (2007), pp. 115-142

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  Online learning of multiple tasks with a shared loss

  Ofer Dekel, Philip M. Long, Yoram Singer

  JMLR, vol. 8 (2007), pp. 2233-2264

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  Efficient Learning of Label Ranking by Soft Projections onto Polyhedra

  S. Shalev-Shwartz, Y. Singer

  Journal of Machine Learning Research (2006)

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  Online Learning meets Optimization in the Dual

  S. Shalev-Shwartz, Y. Singer

  Proceedings of the Nineteenth Annual Conference on Computational Learning Theory (2006)

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  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)

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  Online Passive Aggressive Algorithms

  K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, Y. Singer

  Journal of Machine Learning Research, vol. 7 (2006)

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  A New Perspective on an Old Perceptron Algorithm

  Shai Shalev-Shwartz, Yoram Singer

  COLT (2005), pp. 264-278

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  A New Perspective on an Old Perceptron Algorithm

  S. Shalev-Shwartz, Y. Singer

  Proceedings of the Eighteenth Annual Conference on Computational Learning Theory (2005)

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  Data-Driven Online to Batch Conversions

  Ofer Dekel, Yoram Singer

  NIPS (2005)

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  Loss Bounds for Online Category Ranking

  K. Crammer, Y. Singer

  Proceedings of the Eighteenth Annual Conference on Computational Learning Theory (2005)

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  Online Ranking by Projecting

  K. Crammer, Y. Singer

  Neural Computation, vol. 17 (2005)

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  Phoneme Alignment Based on Discriminative Learning

  J. Keshet, S. Shalev-Shwartz, Y. Singer, D. Chazan

  Interspeech (2005)

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  The Forgetron: A Kernel-Based Perceptron on a Fixed Budget

  Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

  NIPS (2005)

Previous Publications

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  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

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  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)

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  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

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  An Online Algorithm for Hierarchical Phoneme Classification

  Ofer Dekel, Joseph Keshet, Yoram Singer

  MLMI (2004), pp. 146-158

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  Large Margin Hierarchical Classification

  O. Dekel, J. Keshet, Y. Singer

  Proceedings of the 21st International Conference on Machine Learning (2004)

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  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)

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  Learning to Align Polyphonic Music

  Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer

  ISMIR (2004)

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  Learning to Align Polyphonic Music

  S. Shalev-Shwartz, J. Keshet, Y. Singer

  Proceedings of the 5th International Conference on Music Information Retrieval (2004)

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  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

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  Online and Batch Learning of Pseudo-Metrics

  S. Shalev-Shwartz, Y. Singer, A. Ng

  Proceedings of the 21st International Conference on Machine Learning (2004)

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  Online and batch learning of pseudo-metrics

  Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng

  ICML (2004)

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  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)

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  A Family of Additive Online Algorithms for Category Ranking

  Koby Crammer, Yoram Singer

  Journal of Machine Learning Research, vol. 3 (2003), pp. 1025-1058

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  Online Passive-Aggressive Algorithms

  Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer

  NIPS (2003)

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  Boosting for Document Routing

  Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, Amit Singhal

  CIKM (2000), pp. 70-77

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  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

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  Boosting and Rocchio Applied to Text Filtering

  Robert E. Schapire, Yoram Singer, Amit Singhal

  SIGIR (1998), pp. 215-223

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  Shared Context Probabilistic Transducers

  Yoshua Bengio, Samy Bengio, Jean-Francois Isabelle, Yoram Singer

  Advances in Neural Information Processing Systems, NIPS 10 (1997)

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  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