Yoram Singer

发表

Using mixtures of common ancestors for estimating the probabilities of discrete events in biological sequences

Eleazar Eskin, William Noble Grundy, Yoram Singer, 2001, ISMB.

A Stochastic Quasi-Newton Method for Large-Scale Optimization

Jorge Nocedal, Yoram Singer, Richard H. Byrd, 2014, SIAM J. Optim..

Logistic Regression, AdaBoost and Bregman Distances

Yoram Singer, Robert E. Schapire, Michael Collins, 2000, Machine Learning.

State-based Classification of Finger Gestures from Electromyographic Signals

Leslie Pack Kaelbling, Yoram Singer, Peter Ju, 2000, ICML.

Pranking with Ranking

Koby Crammer, Yoram Singer, Y. Singer, 2001, NIPS.

Learning probabilistic automata with variable memory length

Dana Ron, Yoram Singer, Naftali Tishby, 1994, COLT '94.

The Power of Amnesia

Dana Ron, Yoram Singer, Naftali Tishby, 1993, NIPS.

A Boosting Algorithm for Label Covering in Multilabel Problems

Yoram Singer, Ofer Dekel, Yonatan Amit, 2007, AISTATS.

Learning to Order Things pdf

Yoram Singer, William W. Cohen, Robert E. Schapire, 1997, NIPS.

Boosting and Rocchio applied to text filtering

Yoram Singer, Robert E. Schapire, Amit Singhal, 1998, SIGIR '98.

Are All Layers Created Equal? pdf

Samy Bengio, Yoram Singer, Chiyuan Zhang, 2019, J. Mach. Learn. Res..

Multiclass Categorization by Probabilistic Embeddings

Yoram Singer, Ofer Dekel, Y. Singer, 2003 .

Improved Boosting Algorithms Using Confidence-rated Predictions

Yoram Singer, Robert E. Schapire, R. Schapire, 1998, COLT' 98.

Learning a neural response metric for retinal prosthesis

Yoram Singer, Jonathon Shlens, Nishal P. Shah, 2017, bioRxiv.

On the learnability and usage of acyclic probabilistic finite automata

Dana Ron, Yoram Singer, Naftali Tishby, 1995, COLT '95.

Individual Sequence Prediction Using Memory-Efficient Context Trees

Yoram Singer, Shai Shalev-Shwartz, Ofer Dekel, 2009, IEEE Transactions on Information Theory.

Online Classification on a Budget

Koby Crammer, Yoram Singer, Jaz S. Kandola, 2003, NIPS.

BoosTexter: A System for Multiclass Multi-label Text Categorization

Yoram Singer, Robert E. Schapire, R. Schapire, 1998 .

An efficient extension to mixture techniques for prediction and decision trees

Yoram Singer, Fernando Pereira, 1997, COLT '97.

A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization pdf

Yoram Singer, Vineet Gupta, Tomer Koren, 2017, ArXiv.

Efficient projections onto the {\it l}$_{\mbox{1}}$-ball for learning in high dimensions

Yoram Singer, Shai Shalev-Shwartz, Tushar Deepak Chandra, 2008, ICML 2008.

An Online Algorithm for Hierarchical Phoneme Classification

Yoram Singer, Joseph Keshet, Ofer Dekel, 2004, MLMI.

A Family of Additive Online Algorithms for Category Ranking

Koby Crammer, Yoram Singer, Y. Singer, 2003, J. Mach. Learn. Res..

Online and batch learning of pseudo-metrics

Yoram Singer, Andrew Y. Ng, Shai Shalev-Shwartz, 2004, ICML.

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

Yoram Singer, Amit Daniely, Roy Frostig, 2016, NIPS.

A Markov model for the acquisition of morphological structure

Dana Ron, Yoram Singer, Leonid Kontorovich, 2003 .

Unsupervised Models for Named Entity Classification

Yoram Singer, Michael Collins, Y. Singer, 1999, EMNLP.

Switching Portfolios

Yoram Singer, Y. Singer, 1998, Int. J. Neural Syst..

Online multiclass learning by interclass hypothesis sharing

Yoram Singer, Shai Shalev-Shwartz, Shimon Ullman, 2006, ICML.

Update Rules for Parameter Estimation in Bayesian Networks

Eric Bauer, Yoram Singer, Daphne Koller, 1997, UAI.

Part-of-Speech Tagging Using a Variable Memory Markov Model

Hinrich Schütze, Yoram Singer, Y. Singer, 1994, ACL.

An Efficient Boosting Algorithm for Combining Preferences by

Yoram Singer, Yoav Freund, Robert E. Schapire, 2013 .

Local collaborative ranking

Samy Bengio, Yoram Singer, Guy Lebanon, 2014, WWW.

Shining Bright: The Golden Era of Signal Processing

Vikram Krishnamurthy, Brendan J. Frey, Holger Boche, 2011 .

On the Learnability and Design of Output Codes for Multiclass Problems

Koby Crammer, Yoram Singer, Y. Singer, 2002, Machine Learning.

LLORMA: Local Low-Rank Matrix Approximation

Samy Bengio, Yoram Singer, Guy Lebanon, 2016, J. Mach. Learn. Res..

Image Retrieval and Classification Using Local Distance Functions

Jitendra Malik, Yoram Singer, Andrea Frome, 2006, NIPS.

Multiclass Learning by Probabilistic Embeddings

Yoram Singer, Ofer Dekel, Y. Singer, 2002, NIPS.

Identity Crisis: Memorization and Generalization under Extreme Overparameterization pdf

Samy Bengio, Yoram Singer, Moritz Hardt, 2019, ICLR.

Pegasos: primal estimated sub-gradient solver for SVM

Yoram Singer, Nathan Srebro, Shai Shalev-Shwartz, 2007, ICML '07.

A new family of online algorithms for category ranking

Koby Crammer, Yoram Singer, Y. Singer, 2002, SIGIR '02.

A simple, fast, and effective rule learner

Yoram Singer, William W. Cohen, Y. Singer, 1999, AAAI 1999.

Spikernels: Predicting Arm Movements by Embedding Population Spike Rate Patterns in Inner-Product Spaces

Yoram Singer, Eilon Vaadia, Rony Paz, 2005, Neural Computation.

Boosting for document routing

Yoram Singer, Robert E. Schapire, Amit Singhal, 2000, CIKM '00.

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Yoram Singer, Elad Hazan, John C. Duchi, 2011, J. Mach. Learn. Res..

Group Sparse Coding

Samy Bengio, Yoram Singer, Fernando Pereira, 2009, NIPS.

Exponentiated Gradient Meets Gradient Descent

Yoram Singer, Elad Hazan, Udaya Ghai, 2019, 1902.01903.

Protein Family Classification Using Sparse Markov Transducers

Eleazar Eskin, Yoram Singer, William Stafford Noble, 2000, J. Comput. Biol..

Online Classification for Complex Problems Using Simultaneous Projections

Yoram Singer, Shai Shalev-Shwartz, Yonatan Amit, 2006, NIPS.

Using and combining predictors that specialize

Yoram Singer, Yoav Freund, Manfred K. Warmuth, 1997, STOC '97.

A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities

Koby Crammer, Yoram Singer, Eilon Vaadia, 2004, NIPS.

A Comparison of New and Old Algorithms for a Mixture Estimation Problem

Yoram Singer, Manfred K. Warmuth, Robert E. Schapire, 1995, COLT '95.

Online Learning of Complex Prediction Problems Using Simultaneous Projections

Yoram Singer, Shai Shalev-Shwartz, Yonatan Amit, 2008, J. Mach. Learn. Res..

The Maximum Entropy Relaxation Path pdf

Yoram Singer, Moshe Dubiner, Matan Gavish, 2013, ArXiv.

Using Web Co-occurrence Statistics for Improving Image Categorization pdf

Samy Bengio, Dumitru Erhan, Quoc V. Le, 2013, ArXiv.

Efficient Learning of Sparse Ranking Functions

Samy Bengio, Yoram Singer, Mark Stevens, 2013, Empirical Inference.

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

Yoram Singer, Shai Shalev-Shwartz, Ofer Dekel, 2005, NIPS.

Smooth e-Intensive Regression by Loss Symmetrization

Yoram Singer, Shai Shalev-Shwartz, Ofer Dekel, 2005, COLT.

Beyond Word N-Grams

Yoram Singer, Naftali Tishby, Fernando Pereira, 1996, VLC@ACL.

Smooth epsiloon-Insensitive Regression by Loss Symmetrization

Yoram Singer, Shai Shalev-Shwartz, Ofer Dekel, 2005, Journal of machine learning research.

Efficient Learning using Forward-Backward Splitting

Yoram Singer, John C. Duchi, Y. Singer, 2009, NIPS.

Learning Theory, Proceedings of 17th Annual Conference on Learning Theory, COLT 2004

John Shawe-Taylor, Yoram Singer, 2004 .

BoosTexter: A Boosting-based System for Text Categorization

Yoram Singer, Robert E. Schapire, R. Schapire, 2000, Machine Learning.

Learning Algorithm for Enclosing Points in Bregmanian Spheres

Koby Crammer, Yoram Singer, 2003, COLT.

Memory Efficient Adaptive Optimization

Yoram Singer, Vineet Gupta, Rohan Anil, 2019, NeurIPS.

Ultraconservative Online Algorithms for Multiclass Problems

Koby Crammer, Yoram Singer, Y. Singer, 2001, J. Mach. Learn. Res..

Smooth ε-insensitive regression by loss symmetrization

Yoram Singer, Shai Shalev-Shwartz, Ofer Dekel, 2003, COLT 2003.

Efficient Bayesian Parameter Estimation in Large Discrete Domains

Yoram Singer, Nir Friedman, Y. Singer, 1998, NIPS.

Leveraged Vector Machines

Yoram Singer, Y. Singer, 1999, NIPS.

Short and Deep: Sketching and Neural Networks

Yoram Singer, Nevena Lazic, Amit Daniely, 2017, ICLR.

Efficient Online and Batch Learning Using Forward Backward Splitting

Yoram Singer, John C. Duchi, Y. Singer, 2009, J. Mach. Learn. Res..

Discriminative Binaural Sound Localization

Yoram Singer, Ehud Ben-Reuven, Y. Singer, 2002, NIPS.

Matrix Approximation under Local Low-Rank Assumption pdf

Yoram Singer, Guy Lebanon, Joonseok Lee, 2013, ICLR.

The Well Tempered Lasso

Yuanzhi Li, Yoram Singer, Y. Singer, 2018, ICML.

Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers

Yoram Singer, Robert E. Schapire, Erin L. Allwein, 2000, J. Mach. Learn. Res..

Using Substitution Matrices to Estimate Probability Distributions for Biological Sequences

Eleazar Eskin, Yoram Singer, William Stafford Noble, 2002, J. Comput. Biol..

Boosting with structural sparsity

Yoram Singer, John C. Duchi, Y. Singer, 2009, ICML '09.

Learning to Query the Web

Yoram Singer, William W. Cohen, Y. Singer, 1996 .

The Forgetron: A Kernel-Based Perceptron on a Budget

Yoram Singer, Shai Shalev-Shwartz, Ofer Dekel, 2008, SIAM J. Comput..

Online Passive-Aggressive Algorithms

Koby Crammer, Yoram Singer, Shai Shalev-Shwartz, 2003, J. Mach. Learn. Res..

Efficient projections onto the l1-ball for learning in high dimensions

Yoram Singer, Shai Shalev-Shwartz, John C. Duchi, 2008, ICML '08.

The Hierarchical Hidden Markov Model: Analysis and Applications

Yoram Singer, Naftali Tishby, Shai Fine, 1998, Machine Learning.

Towards learning a metric for neural prosthetics

Yoram Singer, Jonathon Shlens, Nishal P. Shah, 2018 .

Entire Relaxation Path for Maximum Entropy Problems

Yoram Singer, Moshe Dubiner, Y. Singer, 2011, EMNLP.

Second Order Optimization Made Practical pdf

Yoram Singer, Vineet Gupta, Rohan Anil, 2020, ArXiv.

Improved Output Coding for Classification Using Continuous Relaxation

Koby Crammer, Yoram Singer, 2000, NIPS.

Spikernels: Embedding Spiking Neurons in Inner-Product Spaces

Yoram Singer, Eilon Vaadia, Rony Paz, 2002, NIPS.

Online Ranking by Projecting

Koby Crammer, Yoram Singer, 2005, Neural Computation.

A New Parameter Estimation Method for Gaussian Mixtures

Yoram Singer, Manfred K. Warmuth, Y. Singer, 1998, NIPS 1998.

A Large Margin Algorithm for Forced Alignment

Yoram Singer, Shai Shalev-Shwartz, Joseph Keshet, 2009 .

Boosting Applied to Tagging and PP Attachment

Yoram Singer, Robert E. Schapire, Steven Abney, 1999, EMNLP.

Memory-Efficient Adaptive Optimization for Large-Scale Learning pdf

Yoram Singer, Vineet Gupta, Rohan Anil, 2019, ArXiv.

Parallel Boosting with Momentum

Yoram Singer, Kevin Robert Canini, Rafael M. Frongillo, 2013, ECML/PKDD.

A Comparison of New and Old Algorithms for a Mixture Estimation Problem

Yoram Singer, Manfred K. Warmuth, Robert E. Schapire, 2004, Machine Learning.

Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy

Yoram Singer, Manfred K. Warmuth, Y. Singer, 1998, NIPS.

On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines

Koby Crammer, Yoram Singer, Y. Singer, 2002, J. Mach. Learn. Res..

Phoneme alignment based on discriminative learning

Yoram Singer, Shai Shalev-Shwartz, Joseph Keshet, 2005, INTERSPEECH.

Dynamical encoding of cursive handwriting

Yoram Singer, Naftali Tishby, Y. Singer, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Composite objective mirror descent

Ambuj Tewari, Yoram Singer, Shai Shalev-Shwartz, 2010, COLT 2010.

Composite Objective Optimization and Learning for Massive Datasets

Yoram Singer, 2010 .

Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings

John Shawe-Taylor, Yoram Singer, 2004 .

Data-Driven Online to Batch Conversions

Yoram Singer, Ofer Dekel, Y. Singer, 2005, NIPS.

Convex Repeated Games and Fenchel Duality

Yoram Singer, Shai Shalev-Shwartz, Y. Singer, 2006, NIPS.

Random Features for Compositional Kernels pdf

Yoram Singer, Amit Daniely, Vineet Gupta, 2017, ArXiv.

Guest Editor's Introduction

Yoram Singer, Y. Singer, 2004, Machine Learning.

Protein Family Classification Using Sparse Markov Transducers

Eleazar Eskin, William Noble Grundy, Yoram Singer, 2000, ISMB.

An Efficient Extension to Mixture Techniques for Prediction and Decision Trees

Yoram Singer, Fernando Pereira, Y. Singer, 1997, COLT '97.

Train faster, generalize better: Stability of stochastic gradient descent pdf

Yoram Singer, Benjamin Recht, Moritz Hardt, 2015, ICML.

On the learnability and usage of acyclic probabilistic finite automata

Dana Ron, Yoram Singer, Naftali Tishby, 1995, COLT '95.

Learning to Align Polyphonic Music

Yoram Singer, Shai Shalev-Shwartz, Joseph Keshet, 2004, ISMIR.

Adaptive Mixture of Probabilistic Transducers

Yoram Singer, Y. Singer, 1995, NIPS.

On the equivalence of weak learnability and linear separability: new relaxations and efficient boosting algorithms

Yoram Singer, Shai Shalev-Shwartz, Y. Singer, 2010, Machine Learning.

Online Learning of Multiple Tasks with a Shared Loss

Philip M. Long, Yoram Singer, Ofer Dekel, 2007, J. Mach. Learn. Res..

Context-sensitive learning methods for text categorization

Yoram Singer, William W. Cohen, Y. Singer, 1996, SIGIR '96.

Efficient Learning of Label Ranking by Soft Projections onto Polyhedra

Yoram Singer, Shai Shalev-Shwartz, Y. Singer, 2006, J. Mach. Learn. Res..

Decoding Cursive Scripts

Yoram Singer, Naftali Tishby, Y. Singer, 1993, NIPS.

Pegasos: primal estimated sub-gradient solver for SVM

Yoram Singer, Nathan Srebro, Andrew Cotter, 2011, Math. Program..

Sketching and Neural Networks pdf

Yoram Singer, Nevena Lazic, Amit Daniely, 2016, ArXiv.

Dynamical encoding of cursive handwriting

Yoram Singer, Naftali Tishby, 2004, Biological Cybernetics.

Robust temporal and spectral modeling for query By melody

Shlomo Dubnov, Yoram Singer, Shai Shalev-Shwartz, 2002, SIGIR '02.

A Simple, Fast, and Effictive Rule Learner

Yoram Singer, William W. Cohen, 1999, AAAI/IAAI.

Online Learning Meets Optimization in the Dual

Yoram Singer, Shai Shalev-Shwartz, Y. Singer, 2006, COLT.

Advances in Neural Information Processing Systems 14

Koby Crammer, Yoram Singer, Y. Singer, 2002 .

Zero-Shot Learning by Convex Combination of Semantic Embeddings

Samy Bengio, Yoram Singer, Mohammad Norouzi, 2013, ICLR.

Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions

Yoram Singer, Manfred K. Warmuth, Y. Singer, 1996, NIPS.

A Large Margin Algorithm for Speech-to-Phoneme and Music-to-Score Alignment

Yoram Singer, Shai Shalev-Shwartz, Joseph Keshet, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Local Low-Rank Matrix Approximation

Yoram Singer, Guy Lebanon, Joonseok Lee, 2013, ICML.

Large margin hierarchical classification

Yoram Singer, Joseph Keshet, Ofer Dekel, 2004, ICML.

Adaptive Mixtures of Probabilistic Transducers

Yoram Singer, Y. Singer, 1995, Neural Computation.

Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network

Dan Klein, Yoram Singer, Christopher D. Manning, 2003, NAACL.

Online Multitask Learning

Philip M. Long, Yoram Singer, Ofer Dekel, 2006, COLT.

Discriminative kernel-based phoneme sequence recognition

Samy Bengio, Yoram Singer, Shai Shalev-Shwartz, 2006, INTERSPEECH.

Shared Context Probabilistic Transducers

Samy Bengio, Yoshua Bengio, Yoram Singer, 1997, NIPS.

Improved Boosting Algorithms Using Confidence-rated Predictions

Yoram Singer, Robert E. Schapire, R. Schapire, 1998, COLT' 98.

Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification

Jitendra Malik, Yoram Singer, Fei Sha, 2007, 2007 IEEE 11th International Conference on Computer Vision.

A New Perspective on an Old Perceptron Algorithm

Yoram Singer, Shai Shalev-Shwartz, Y. Singer, 2005, COLT.

Convolutional Bipartite Attractor Networks pdf

Yoram Singer, Michael C. Mozer, Michael L. Iuzzolino, 2019, ArXiv.

Full Matrix Preconditioning Made Practical

Yoram Singer, Tomer Koren, Kevin Regan, 2019 .

Proximity Preserving Binary Code using Signed Graph-Cut

Yoram Singer, Shai Avidan, Yacov Hel-Or, 2020, AAAI.

An Efficient PAC Algorithm for Reconstructing a Mixture of Lines

Sanjoy Dasgupta, Yoram Singer, Elan Pavlov, 2002, ALT.

Log-Linear Models for Label Ranking

Yoram Singer, Christopher D. Manning, Ofer Dekel, 2003, NIPS.

The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees

Yoram Singer, Shai Shalev-Shwartz, Ofer Dekel, 2004, NIPS.

A Unified Algorithmic Approach for Efficient Online Label Ranking

Yoram Singer, Shai Shalev-Shwartz, 2007, AISTATS.

A primal-dual perspective of online learning algorithms

Yoram Singer, Shai Shalev-Shwartz, Y. Singer, 2007, Machine Learning.

On‐Line Portfolio Selection Using Multiplicative Updates

Yoram Singer, Manfred K. Warmuth, Robert E. Schapire, 1998, ICML.

Leveraging the margin more carefully

Yoram Singer, Nir Krause, Y. Singer, 2004, ICML.

Kernel Design Using Boosting

Koby Crammer, Yoram Singer, Joseph Keshet, 2002, NIPS.

Support Vector Machines on a Budget

Yoram Singer, Ofer Dekel, Y. Singer, 2006, NIPS.

Shampoo: Preconditioned Stochastic Tensor Optimization

Yoram Singer, Vineet Gupta, Tomer Koren, 2018, ICML.

Error Correcting Output Codes

Yoram Singer, Rob Schapire, Erin Allwein, 2010, Encyclopedia of Machine Learning.

The power of amnesia: Learning probabilistic automata with variable memory length

Dana Ron, Yoram Singer, Naftali Tishby, 1996, Machine Learning.

Loss Bounds for Online Category Ranking

Koby Crammer, Yoram Singer, Y. Singer, 2005, COLT.

Proximal and First-Order Methods for Convex Optimization

Yoram Singer, John C. Duchi, Y. Singer, 2013 .