Koby Crammer

Orcid: 0000-0001-8824-5747

Affiliations:
  • Technion, Israel Institute of Technology, Israel


According to our database1, Koby Crammer authored at least 113 papers between 2000 and 2022.

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Bibliography

2022
Weighted Training for Cross-Task Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2019
Variance Estimation For Online Regression via Spectrum Thresholding.
CoRR, 2019

2018
Discriminative Keyword Spotting for limited-data applications.
Speech Commun., 2018

Multi Instance Learning For Unbalanced Data.
CoRR, 2018

Efficient Loss-Based Decoding on Graphs for Extreme Classification.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Better Resource Allocation Algorithm with Semi-Bandit Feedback.
Proceedings of the Algorithmic Learning Theory, 2018

2017
Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Online Regression with Controlled Label Noise Rate.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Rotting Bandits.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Grid-based approximation for voice conversion in low resource environments.
EURASIP J. Audio Speech Music. Process., 2016

Bandits meet Computer Architecture: Designing a Smartly-allocated Cache.
CoRR, 2016

That's Not My Question: Learning to Weight Unmatched Terms in CQA Vertical Search.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015
A generalized online mirror descent with applications to classification and regression.
Mach. Learn., 2015

Second-order non-stationary online learning for regression.
J. Mach. Learn. Res., 2015

CONQUER: Confusion Queried Online Bandit Learning.
CoRR, 2015

Linear Multi-Resource Allocation with Semi-Bandit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Belief flows for robust online learning.
Proceedings of the 2015 Information Theory and Applications Workshop, 2015

In-memory hamming similarity computation in resistive arrays.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Convex Multi-Task Learning by Clustering.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Outlier-Robust Convex Segmentation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Weighted last-step min-max algorithm with improved sub-logarithmic regret.
Theor. Comput. Sci., 2014

Optimal Resource Allocation with Semi-Bandit Feedback.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Learning Multiple Tasks in Parallel with a Shared Annotator.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Prediction with Limited Advice and Multiarmed Bandits with Paid Observations.
Proceedings of the 31th International Conference on Machine Learning, 2014

Concept Drift Detection Through Resampling.
Proceedings of the 31th International Conference on Machine Learning, 2014

Non-parallel voice conversion using joint optimization of alignment by temporal context and spectral distortion.
Proceedings of the IEEE International Conference on Acoustics, 2014

Robust Forward Algorithms via PAC-Bayes and Laplace Distributions.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Selective Sampling with Drift.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Doubly Aggressive Selective Sampling Algorithms for Classification.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Adaptive regularization of weight vectors.
Mach. Learn., 2013

Multiclass classification with bandit feedback using adaptive regularization.
Mach. Learn., 2013

Advice-Efficient Prediction with Expert Advice
CoRR, 2013

Multi Class Learning with Individual Sparsity.
Proceedings of the IJCAI 2013, 2013

Hartigan's K-Means Versus Lloyd's K-Means - Is It Time for a Change?
Proceedings of the IJCAI 2013, 2013

Open Problem: Adversarial Multiarmed Bandits with Limited Advice.
Proceedings of the COLT 2013, 2013

A Last-Step Regression Algorithm for Non-Stationary Online Learning.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Breaking the curse of kernelization: budgeted stochastic gradient descent for large-scale SVM training.
J. Mach. Learn. Res., 2012

A Simple Geometric Interpretation of SVM using Stochastic Adversaries.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

More Is Better: Large Scale Partially-supervised Sentiment Classication.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Confidence-Weighted Linear Classification for Text Categorization.
J. Mach. Learn. Res., 2012

More Is Better: Large Scale Partially-supervised Sentiment Classification - Appendix
CoRR, 2012

Adaptive Regularization for Weight Matrices
CoRR, 2012

Automated gene-model curation using global discriminative learning.
Bioinform., 2012

Graph-Based Transduction with Confidence.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Volume Regularization for Binary Classification.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning Multiple Tasks using Shared Hypotheses.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Are You Sure? Confidence in Prediction of Dependency Tree Edges.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Training Dependency Parser Using Light Feedback.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Adaptive Regularization for Similarity Measures.
Proceedings of the 29th International Conference on Machine Learning, 2012

Online discriminative learning of phoneme recognition via collections of generalized linear models.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

New ℌ<sup>∞</sup> bounds for the recursive least squares algorithm exploiting input structure.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Modular Global Variance enhancement for voice conversion systems.
Proceedings of the 20th European Signal Processing Conference, 2012

Metric Learning for Graph-Based Domain Adaptation.
Proceedings of the COLING 2012, 2012

2011
Confidence Estimation in Structured Prediction
CoRR, 2011

Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Active Online Classification via Information Maximization.
Proceedings of the IJCAI 2011, 2011

Re-adapting the Regularization of Weights for Non-stationary Regression.
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010
Multi-domain learning by confidence-weighted parameter combination.
Mach. Learn., 2010

A theory of learning from different domains.
Mach. Learn., 2010

Exploiting Feature Covariance in High-Dimensional Online Learning.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

New Adaptive Algorithms for Online Classification.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning via Gaussian Herding.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Multi-Class Pegasos on a Budget.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Efficient online learning with individual learning-rates for phoneme sequence recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010

Confidence in Structured-Prediction Using Confidence-Weighted Models.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Regret Minimization With Concept Drift.
Proceedings of the COLT 2010, 2010

Learning Better Data Representation Using Inference-Driven Metric Learning.
Proceedings of the ACL 2010, 2010

2009
Gaussian Margin Machines.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

New Regularized Algorithms for Transductive Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Loss-Sensitive Discriminative Training of Machine Transliteration Models.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

How to loose confidence: probabilistic linear machines for multiclass classification.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Resolving Identity Uncertainty with Learned Random Walks.
Proceedings of the ICDM 2009, 2009

Multi-Class Confidence Weighted Algorithms.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008
Learning to create data-integrating queries.
Proc. VLDB Endow., 2008

Learning from Multiple Sources.
J. Mach. Learn. Res., 2008

Reranking candidate gene models with cross-species comparison for improved gene prediction.
BMC Bioinform., 2008

Exact Convex Confidence-Weighted Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Confidence-weighted linear classification.
Proceedings of the Machine Learning, 2008

A rate-distortion one-class model and its applications to clustering.
Proceedings of the Machine Learning, 2008

Online Methods for Multi-Domain Learning and Adaptation.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

One-Class Clustering in the Text Domain.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Active Learning with Confidence.
Proceedings of the ACL 2008, 2008

Advanced Online Learning for Natural Language Processing.
Proceedings of the ACL 2008, 2008

2007
Global Discriminative Learning for Higher-Accuracy Computational Gene Prediction.
PLoS Comput. Biol., 2007

Learning Bounds for Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A conservative aggressive subspace tracker.
Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

Automatic Code Assignment to Medical Text.
Proceedings of the Biological, translational, and clinical language processing, 2007

2006
Online Passive-Aggressive Algorithms.
J. Mach. Learn. Res., 2006

Discriminative Learning via Semidefinite Probabilistic Models.
Proceedings of the UAI '06, 2006

Analysis of Representations for Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Room Impulse Response Estimation using Sparse Online Prediction and Absolute Loss.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Online Tracking of Linear Subspaces.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

Robust Support Vector Machine Training via Convex Outlier Ablation.
Proceedings of the Proceedings, 2006

2005
Online Ranking by Projecting.
Neural Comput., 2005

Learning from Data of Variable Quality.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Flexible Text Segmentation with Structured Multilabel Classification.
Proceedings of the HLT/EMNLP 2005, 2005

Loss Bounds for Online Category Ranking.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

Online Large-Margin Training of Dependency Parsers.
Proceedings of the ACL 2005, 2005

2004
Online learning of complex categorical problems (למידה מקוונת של בעיות דירוג מורכבות.).
PhD thesis, 2004

A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

A needle in a haystack: local one-class optimization.
Proceedings of the Machine Learning, 2004

2003
A Family of Additive Online Algorithms for Category Ranking.
J. Mach. Learn. Res., 2003

Ultraconservative Online Algorithms for Multiclass Problems.
J. Mach. Learn. Res., 2003

Online Passive-Aggressive Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Online Classification on a Budget.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Learning Algorithm for Enclosing Points in Bregmanian Spheres.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002
On the Learnability and Design of Output Codes for Multiclass Problems.
Mach. Learn., 2002

A new family of online algorithms for category ranking.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Kernel Design Using Boosting.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Margin Analysis of the LVQ Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines.
J. Mach. Learn. Res., 2001

Pranking with Ranking.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Improved Output Coding for Classification Using Continuous Relaxation.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000


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