Ofer Dekel and Yoram Singer
Data-Driven Online to Batch Conversions    
NIPS’05

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
The Forgetron: A Kernel-Based Perceptron on a Fixed Budget    
NIPS’05

Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer, Dan Chazan
Phoneme Alignment Based on Discriminative Learning    
INTERSPEECH'05.

Shai Shalev-Shwartz and Yoram Singer
A New Perspective on an Old Perceptron Algorithm    
COLT’05

Koby Crammer and Yoram Singer
Loss Bounds for Online Category Ranking    
COLT’05

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees    
NIPS’04

Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia, Yoram Singer
A Temporal Kernel-Based Model for Tracking Hand-Movements from Neural Activities    
NIPS’04

Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer
Learning to Align Polyphonic Music     (long version)
ISMIR’04

Shai Shalev-Shwartz, Yoram Singer, Andrew Ng
Online and Batch Learning of Pseudo-Metrics
ICML’04

Nir Krause and Yoram Singer
Leveraging the Margin More Carefully
ICML’04

Ofer Dekel, Joseph Keshet, Yoram Singer
Large Margin Hierarchical Classification
ICML’04

Ofer Dekel, Chris Manning, Yoram Singer
Log-Linear Models for Label Ranking
NIPS’03

Koby Crammer, Jaz Kandola, Yoram Singer
Online Classification on a Budget
NIPS’03

Koby Crammer and Yoram Singer
Learning Algorithms for Enclosing Points in Bregmanian Spheres
COLT’03

Kristina Toutanova, Dan Klein, Christopher D. Manning, Yoram Singer,
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
NAACL’03

Lavi Shpigelman, Yoram Singer, Ronny Paz, Eilon Vaadia
Spikernels: Embedding Spiking Neurons in Inner-Product Spaces
NIPS’02

Ehud Ben-Reuven and Yoram Singer
Discriminative Binaural Sound Localization
NIPS’02

Ofer Dekel and Yoram Singer
Multiclass Learning by Probabilistic Embeddings
NIPS’02

Koby Crammer, Joseph Keshet, Yoram Singer
Kernel Design using Boosting
NIPS’02

Sanjoy Dasgupta, Elan Pavlov, Yoram Singer
An Efficient PAC Algorithm for Reconstructing a Mixture of Lines    
ALT’02

Shai Shwartz, Shlomo Dubnov, Nir Friedman, Yoram Singer
Robust Temporal and Spectral Modeling for Query By Melody    
SIGIR’02

Koby Crammer and Yoram Singer
A New Family of Online Algorithms for Category Ranking    
SIGIR’02

Koby Crammer and Yoram Singer
PRanking with Ranking    
NIPS’01

Tal Anker, Roi Cohen, Danny Dolev, Yoram Singer
Probabilistic Fair Queuing
HPSR’01

Eleazar Eskin, William Grundy, Yoram Singer
Using mixtures of common ancestors for estimating the probabilities of discrete events in biological sequences    
ISMB’01

Peter Ju, Leslie Pack Kaelbling, Yoram Singer
State-based Classification of Finger Gestures from Electromyographic Signals    
ICML-00

Raj Iyer, David Lewis, Robert Schapire, Yoram Singer, Amit Singhal
Boosting for Document Routing    
CIKM’00

Michael Collins and Yoram Singer
Unsupervised Models for Named Entity Classification    
EMNLP’99

Steven Abney and Robert E. Schapire and Yoram Singer
Boosting Applied to Tagging and PP Attachment    
EMNLP’99

Yoram Singer
Leveraged Vector Machines    
NIPS’99

William W. Cohen and Yoram Singer
A Simple, Fast, and Effective Rule Learner    
AAAI’99

Nir Friedman and Yoram Singer
Efficient Bayesian Parameter Estimation in Large Discrete Domains    
NIPS’98

Robert E. Schapire, Yoram Singer, Amit Singhal
Boosting and Rocchio applied to text filtering
SIGIR’98

Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth
Using and combining predictors that specialize
STOC’97

Eric Bauer, Daphne Koller, Yoram Singer
Update Rules for Parameter Estimation in Bayesian Networks
UAI’97

Yoram Singer and Manfred K. Warmuth
Training Algorithms for Hidden Markov Models Using Entropy Based Distance Functions
NIPS*96

William Cohen and Yoram Singer
Learning to query the web
AAAI‘96

Fernando Pereira, Yoram Singer, Naftali Tishby
Beyond Word N-Grams
EMNLP’95

Hinrich Schutze and Yoram Singer
Part-of-Speech tagging using a variable memory Markov model
ACL’94