Yoram Singer

Publication Activity (10 Years)

Years Active: 1992-2022
Publications (10 Years): 26

Top Venues

CoRR

ICML

J. Mach. Learn. Res.

ICLR

Publications

Chiyuan Zhang, Samy Bengio, Yoram Singer
Are All Layers Created Equal? J. Mach. Learn. Res. 23 (2022)
Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or
Proximity Preserving Binary Code using Signed Graph-Cut. CoRR (2020)
Udaya Ghai, Elad Hazan, Yoram Singer
Exponentiated Gradient Meets Gradient Descent. ALT (2020)
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization. ICLR (2020)
Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or
Proximity Preserving Binary Code Using Signed Graph-Cut. AAAI (2020)
Rohan Anil, Vineet Gupta, Tomer Koren, Kevin Regan, Yoram Singer
Second Order Optimization Made Practical. CoRR (2020)
Chiyuan Zhang, Samy Bengio, Yoram Singer
Are All Layers Created Equal? CoRR (2019)
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Yoram Singer
Identity Crisis: Memorization and Generalization under Extreme Overparameterization. CoRR (2019)
Rohan Anil, Vineet Gupta, Tomer Koren, Yoram Singer
Memory Efficient Adaptive Optimization. NeurIPS (2019)
Rohan Anil, Vineet Gupta, Tomer Koren, Yoram Singer
Memory-Efficient Adaptive Optimization for Large-Scale Learning. CoRR (2019)
Michael L. Iuzzolino, Yoram Singer, Michael C. Mozer
Convolutional Bipartite Attractor Networks. CoRR (2019)
Udaya Ghai, Elad Hazan, Yoram Singer
Exponentiated Gradient Meets Gradient Descent. CoRR (2019)
Yuanzhi Li, Yoram Singer
The Well Tempered Lasso. CoRR (2018)
Nishal P. Shah, Sasidhar Madugula, E. J. Chichilnisky, Yoram Singer, Jonathon Shlens
Learning a neural response metric for retinal prosthesis. ICLR (Poster) (2018)
Vineet Gupta, Tomer Koren, Yoram Singer
Shampoo: Preconditioned Stochastic Tensor Optimization. CoRR (2018)
Vineet Gupta, Tomer Koren, Yoram Singer
Shampoo: Preconditioned Stochastic Tensor Optimization. ICML (2018)
Yuanzhi Li, Yoram Singer
The Well-Tempered Lasso. ICML (2018)
Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar
Short and Deep: Sketching and Neural Networks. ICLR (Workshop) (2017)
Amit Daniely, Roy Frostig, Vineet Gupta, Yoram Singer
Random Features for Compositional Kernels. CoRR (2017)
Vineet Gupta, Tomer Koren, Yoram Singer
A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization. CoRR (2017)
Moritz Hardt, Ben Recht, Yoram Singer
Train faster, generalize better: Stability of stochastic gradient descent. ICML (2016)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio
LLORMA: Local Low-Rank Matrix Approximation. J. Mach. Learn. Res. 17 (2016)
Amit Daniely, Roy Frostig, Yoram Singer
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity. NIPS (2016)
Richard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer
A Stochastic Quasi-Newton Method for Large-Scale Optimization. SIAM J. Optim. 26 (2) (2016)
Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar
Sketching and Neural Networks. CoRR (2016)
Amit Daniely, Roy Frostig, Yoram Singer
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity. CoRR (2016)
Moritz Hardt, Benjamin Recht, Yoram Singer
Train faster, generalize better: Stability of stochastic gradient descent. CoRR (2015)
Richard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer
A Stochastic Quasi-Newton Method for Large-Scale Optimization. CoRR (2014)
Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer
Local collaborative ranking. WWW (2014)
Mohammad Norouzi, Tomás Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean
Zero-Shot Learning by Convex Combination of Semantic Embeddings. ICLR (2014)
Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc V. Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer
Using Web Co-occurrence Statistics for Improving Image Categorization. CoRR (2013)
Eric Bauer, Daphne Koller, Yoram Singer
Update Rules for Parameter Estimation in Bayesian Networks CoRR (2013)
Moshe Dubiner, Matan Gavish, Yoram Singer
The Maximum Entropy Relaxation Path. CoRR (2013)
Mark Stevens, Samy Bengio, Yoram Singer
Efficient Learning of Sparse Ranking Functions. Empirical Inference (2013)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
Local Low-Rank Matrix Approximation. ICML (2) (2013)
Indraneel Mukherjee, Kevin Robert Canini, Rafael M. Frongillo, Yoram Singer
Parallel Boosting with Momentum. ECML/PKDD (3) (2013)
Yoram Singer
Switching Portfolios CoRR (2013)
Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer
Matrix Approximation under Local Low-Rank Assumption ICLR (Workshop Poster) (2013)
Moshe Dubiner, Yoram Singer
Entire Relaxation Path for Maximum Entropy Problems. EMNLP (2011)
John C. Duchi, Elad Hazan, Yoram Singer
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization. J. Mach. Learn. Res. 12 (2011)
Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter
Pegasos: primal estimated sub-gradient solver for SVM. Math. Program. 127 (1) (2011)
William W. Cohen, Robert E. Schapire, Yoram Singer
Learning to Order Things CoRR (2011)
John C. Duchi, Shai Shalev-Shwartz, Yoram Singer, Ambuj Tewari
Composite Objective Mirror Descent. COLT (2010)
Shai Shalev-Shwartz, Yoram Singer
On the equivalence of weak learnability and linear separability: new relaxations and efficient boosting algorithms. Mach. Learn. 80 (2-3) (2010)
John C. Duchi, Elad Hazan, Yoram Singer
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization. COLT (2010)
John C. Duchi, Yoram Singer
Efficient Online and Batch Learning Using Forward Backward Splitting. J. Mach. Learn. Res. 10 (2009)
Samy Bengio, Fernando C. N. Pereira, Yoram Singer, Dennis Strelow
Group Sparse Coding. NIPS (2009)
John C. Duchi, Yoram Singer
Boosting with structural sparsity. ICML (2009)
John C. Duchi, Yoram Singer
Efficient Learning using Forward-Backward Splitting. NIPS (2009)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
Individual sequence prediction using memory-efficient context trees. IEEE Trans. Inf. Theory 55 (11) (2009)
Shai Shalev-Shwartz, Yoram Singer
On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms. COLT (2008)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
The Forgetron: A Kernel-Based Perceptron on a Budget. SIAM J. Comput. 37 (5) (2008)
John C. Duchi, Shai Shalev-Shwartz, Yoram Singer, Tushar Chandra
-ball for learning in high dimensions. ICML (2008)
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
Online Learning of Complex Prediction Problems Using Simultaneous Projections. J. Mach. Learn. Res. 9 (2008)
Shai Shalev-Shwartz, Yoram Singer
A primal-dual perspective of online learning algorithms. Mach. Learn. 69 (2-3) (2007)
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Malik
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification. ICCV (2007)
Ofer Dekel, Philip M. Long, Yoram Singer
Online Learning of Multiple Tasks with a Shared Loss. J. Mach. Learn. Res. 8 (2007)
Shai Shalev-Shwartz, Yoram Singer
A Unified Algorithmic Approach for Efficient Online Label Ranking. AISTATS (2007)
Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer, Dan Chazan
A Large Margin Algorithm for Speech-to-Phoneme and Music-to-Score Alignment. IEEE Trans. Speech Audio Process. 15 (8) (2007)
Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. ICML (2007)
Yonatan Amit, Ofer Dekel, Yoram Singer
A Boosting Algorithm for Label Covering in Multilabel Problems. AISTATS (2007)
Shai Shalev-Shwartz, Yoram Singer
Online Learning Meets Optimization in the Dual. COLT (2006)
Ofer Dekel, Philip M. Long, Yoram Singer
Online Multitask Learning. COLT (2006)
Ofer Dekel, Yoram Singer
Support Vector Machines on a Budget. NIPS (2006)
Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer
Online Passive-Aggressive Algorithms. J. Mach. Learn. Res. 7 (2006)
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
Online Classification for Complex Problems Using Simultaneous Projections. NIPS (2006)
Joseph Keshet, Shai Shalev-Shwartz, Samy Bengio, Yoram Singer, Dan Chazan
Discriminative kernel-based phoneme sequence recognition. INTERSPEECH (2006)
Shai Shalev-Shwartz, Yoram Singer
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra. J. Mach. Learn. Res. 7 (2006)
Shai Shalev-Shwartz, Yoram Singer
Convex Repeated Games and Fenchel Duality. NIPS (2006)
Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman
Online multiclass learning by interclass hypothesis sharing. ICML (2006)
Andrea Frome, Yoram Singer, Jitendra Malik
Image Retrieval and Classification Using Local Distance Functions. NIPS (2006)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
The Forgetron: A Kernel-Based Perceptron on a Fixed Budget. NIPS (2005)
Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer, Dan Chazan
Phoneme alignment based on discriminative learning. INTERSPEECH (2005)
Ofer Dekel, Yoram Singer
Data-Driven Online to Batch Conversions. NIPS (2005)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
Smooth epsiloon-Insensitive Regression by Loss Symmetrization. J. Mach. Learn. Res. 6 (2005)
Shai Shalev-Shwartz, Yoram Singer
A New Perspective on an Old Perceptron Algorithm. COLT (2005)
Koby Crammer, Yoram Singer
Loss Bounds for Online Category Ranking. COLT (2005)
Koby Crammer, Yoram Singer
Online Ranking by Projecting. Neural Comput. 17 (1) (2005)
Lavi Shpigelman, Yoram Singer, Rony Paz, Eilon Vaadia
Spikernels: Predicting Arm Movements by Embedding Population Spike Rate Patterns in Inner-Product Spaces. Neural Comput. 17 (3) (2005)
Ofer Dekel, Joseph Keshet, Yoram Singer
An Online Algorithm for Hierarchical Phoneme Classification. MLMI (2004)
Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng
Online and batch learning of pseudo-metrics. ICML (2004)
Ofer Dekel, Joseph Keshet, Yoram Singer
Large margin hierarchical classification. ICML (2004)
Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer
Learning to Align Polyphonic Music. ISMIR (2004)
Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia, Yoram Singer
A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities. NIPS (2004)
Nir Krause, Yoram Singer
Leveraging the margin more carefully. ICML (2004)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees. NIPS (2004)
Koby Crammer, Yoram Singer
A Family of Additive Online Algorithms for Category Ranking. J. Mach. Learn. Res. 3 (2003)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
Smooth e-Intensive Regression by Loss Symmetrization. COLT (2003)
Koby Crammer, Yoram Singer
Learning Algorithm for Enclosing Points in Bregmanian Spheres. COLT (2003)
Koby Crammer, Jaz S. Kandola, Yoram Singer
Online Classification on a Budget. NIPS (2003)
Ofer Dekel, Christopher D. Manning, Yoram Singer
Log-Linear Models for Label Ranking. NIPS (2003)
Eleazar Eskin, William Stafford Noble, Yoram Singer
Protein Family Classification Using Sparse Markov Transducers. J. Comput. Biol. 10 (2) (2003)
Koby Crammer, Yoram Singer
Ultraconservative Online Algorithms for Multiclass Problems. J. Mach. Learn. Res. 3 (2003)
Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer
Online Passive-Aggressive Algorithms. NIPS (2003)
Kristina Toutanova, Dan Klein, Christopher D. Manning, Yoram Singer
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. HLT-NAACL (2003)
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer
An Efficient Boosting Algorithm for Combining Preferences. J. Mach. Learn. Res. 4 (2003)
Koby Crammer, Yoram Singer
On the Learnability and Design of Output Codes for Multiclass Problems. Mach. Learn. 47 (2-3) (2002)
Koby Crammer, Joseph Keshet, Yoram Singer
Kernel Design Using Boosting. NIPS (2002)
Eleazar Eskin, William Stafford Noble, Yoram Singer
Using Substitution Matrices to Estimate Probability Distributions for Biological Sequences. J. Comput. Biol. 9 (6) (2002)
Lavi Shpigelman, Yoram Singer, Rony Paz, Eilon Vaadia
Spikernels: Embedding Spiking Neurons in Inner-Product Spaces. NIPS (2002)

Yoram Singer.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

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Yoram Singer