# Ofer Dekel

According to our database1, Ofer Dekel authored at least 51 papers between 2002 and 2018.

Collaborative distances:
• Dijkstra number2 of three.
• Erdős number3 of two.

Book
In proceedings
Article
PhD thesis
Other

## Bibliography

2018
Sparse Multi-Prototype Classification.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning SMaLL Predictors.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Adaptive Neural Networks for Fast Test-Time Prediction.
CoRR, 2017

Online Learning with a Hint.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Machine learning on the edge.
Proceedings of the Workshop on Trends in Machine-Learning (and impact on computer architecture), 2017

Adaptive Neural Networks for Efficient Inference.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Linear Learning with Sparse Data.
CoRR, 2016

2015
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Bandit Convex Optimization: $$\sqrt{T}$$ Regret in One Dimension.
Proceedings of The 28th Conference on Learning Theory, 2015

Online Learning with Feedback Graphs: Beyond Bandits.
Proceedings of The 28th Conference on Learning Theory, 2015

2014
Bandits with switching costs: <i>T</i><sup>2/3</sup> regret.
Proceedings of the Symposium on Theory of Computing, 2014

The Blinded Bandit: Learning with Adaptive Feedback.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Online Learning with Composite Loss Functions.
Proceedings of The 27th Conference on Learning Theory, 2014

2013
Bandits with Switching Costs: T^{2/3} Regret.
CoRR, 2013

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Better Rates for Any Adversarial Deterministic MDP.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Optimal Distributed Online Prediction Using Mini-Batches.
J. Mach. Learn. Res., 2012

Selective sampling and active learning from single and multiple teachers.
J. Mach. Learn. Res., 2012

Deterministic MDPs with Adversarial Rewards and Bandit Feedback.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Bundle Selling by Online Estimation of Valuation Functions.
Proceedings of the 28th International Conference on Machine Learning, 2011

Optimal Distributed Online Prediction.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Learning to classify with missing and corrupted features.
Mach. Learn., 2010

Multiclass-Multilabel Classification with More Classes than Examples.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Incentive compatible regression learning.
J. Comput. Syst. Sci., 2010

Robust Distributed Online Prediction
CoRR, 2010

Robust Selective Sampling from Single and Multiple Teachers.
Proceedings of the COLT 2010, 2010

Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback.
Proceedings of the COLT 2010, 2010

2009
Individual sequence prediction using memory-efficient context trees.
IEEE Trans. Inf. Theory, 2009

Distribution-Calibrated Hierarchical Classification.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Good learners for evil teachers.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Vox Populi: Collecting High-Quality Labels from a Crowd.
Proceedings of the COLT 2009, 2009

2008
The Forgetron: A Kernel-Based Perceptron on a Budget.
SIAM J. Comput., 2008

From Online to Batch Learning with Cutoff-Averaging.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning to classify with missing and corrupted features.
Proceedings of the Machine Learning, 2008

2007
Online Learning of Multiple Tasks with a Shared Loss.
J. Mach. Learn. Res., 2007

A Boosting Algorithm for Label Covering in Multilabel Problems.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

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

Support Vector Machines on a Budget.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005
Smooth epsiloon-Insensitive Regression by Loss Symmetrization.
J. Mach. Learn. Res., 2005

The Forgetron: A Kernel-Based Perceptron on a Fixed Budget.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Data-Driven Online to Batch Conversions.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

An Online Algorithm for Hierarchical Phoneme Classification.
Proceedings of the Machine Learning for Multimodal Interaction, 2004

Large margin hierarchical classification.
Proceedings of the Machine Learning, 2004

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

Log-Linear Models for Label Ranking.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Smooth e-Intensive Regression by Loss Symmetrization.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002
Multiclass Learning by Probabilistic Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002