Ofer Dekel

According to our database, Ofer Dekel authored at least 52 papers between 2002 and 2018.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2018

Sparse Multi-Prototype Classification.

Vikas K. Garg, Lin Xiao, Ofer Dekel

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning SMaLL Predictors.

Vikas K. Garg, Ofer Dekel, Lin Xiao

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.

Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama

CoRR, 2017

Online Learning with a Hint.

Ofer Dekel, Arthur Flajolet, Nika Haghtalab, Patrick Jaillet

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

Machine learning on the edge.

Ofer Dekel

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

Adaptive Neural Networks for Efficient Inference.

Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Linear Learning with Sparse Data.

Ofer Dekel

CoRR, 2016

2015

Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff.

Ofer Dekel, Ronen Eldan, Tomer Koren

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.

Sébastien Bubeck, Ofer Dekel, Tomer Koren, Yuval Peres

Proceedings of The 28th Conference on Learning Theory, 2015

Online Learning with Feedback Graphs: Beyond Bandits.

Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel, Tomer Koren

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Bandits with switching costs: <i>T</i>^2/3 regret.

Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres

Proceedings of the Symposium on Theory of Computing, 2014

The Blinded Bandit: Learning with Adaptive Feedback.

Ofer Dekel, Elad Hazan, Tomer Koren

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.

Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres

Proceedings of The 27th Conference on Learning Theory, 2014

2013

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

Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres

CoRR, 2013

Online Learning with Switching Costs and Other Adaptive Adversaries.

Nicolò Cesa-Bianchi, Ofer Dekel, Ohad Shamir

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.

Ofer Dekel, Elad Hazan

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.

Ofer Dekel, Ohad Shamir

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Optimal Distributed Online Prediction Using Mini-Batches.

Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao

J. Mach. Learn. Res., 2012

Selective sampling and active learning from single and multiple teachers.

Ofer Dekel, Claudio Gentile, Karthik Sridharan

J. Mach. Learn. Res., 2012

Deterministic MDPs with Adversarial Rewards and Bandit Feedback.

Raman Arora, Ofer Dekel, Ambuj Tewari

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret.

Ofer Dekel, Ambuj Tewari, Raman Arora

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Bundle Selling by Online Estimation of Valuation Functions.

Daniel Vainsencher, Ofer Dekel, Shie Mannor

Proceedings of the 28th International Conference on Machine Learning, 2011

Optimal Distributed Online Prediction.

Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Learning to classify with missing and corrupted features.

Ofer Dekel, Ohad Shamir, Lin Xiao

Mach. Learn., 2010

Multiclass-Multilabel Classification with More Classes than Examples.

Ofer Dekel, Ohad Shamir

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Incentive compatible regression learning.

Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia

J. Comput. Syst. Sci., 2010

Robust Distributed Online Prediction

Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao

CoRR, 2010

Robust Selective Sampling from Single and Multiple Teachers.

Ofer Dekel, Claudio Gentile, Karthik Sridharan

Proceedings of the COLT 2010, 2010

Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback.

Alekh Agarwal, Ofer Dekel, Lin Xiao

Proceedings of the COLT 2010, 2010

2009

Individual sequence prediction using memory-efficient context trees.

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

IEEE Trans. Inf. Theory, 2009

Distribution-Calibrated Hierarchical Classification.

Ofer Dekel

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.

Ofer Dekel, Ohad Shamir

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Vox Populi: Collecting High-Quality Labels from a Crowd.

Ofer Dekel, Ohad Shamir

Proceedings of the COLT 2009, 2009

2008

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

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

SIAM J. Comput., 2008

From Online to Batch Learning with Cutoff-Averaging.

Ofer Dekel

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning to classify with missing and corrupted features.

Ofer Dekel, Ohad Shamir

Proceedings of the Machine Learning, 2008

2007

Endowing online prediction algorithms with the ability to generalize (יכולת הכללה באלגוריתמים לומדים מקוונים.).

Ofer Dekel

PhD thesis, 2007

Online Learning of Multiple Tasks with a Shared Loss.

Ofer Dekel, Philip M. Long, Yoram Singer

J. Mach. Learn. Res., 2007

A Boosting Algorithm for Label Covering in Multilabel Problems.

Yonatan Amit, Ofer Dekel, Yoram Singer

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2006

Online Passive-Aggressive Algorithms.

Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer

J. Mach. Learn. Res., 2006

Support Vector Machines on a Budget.

Ofer Dekel, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Online Multitask Learning.

Ofer Dekel, Philip M. Long, Yoram Singer

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

2005

Smooth epsiloon-Insensitive Regression by Loss Symmetrization.

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

J. Mach. Learn. Res., 2005

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

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Data-Driven Online to Batch Conversions.

Ofer Dekel, Yoram Singer

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.

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

An Online Algorithm for Hierarchical Phoneme Classification.

Ofer Dekel, Joseph Keshet, Yoram Singer

Proceedings of the Machine Learning for Multimodal Interaction, 2004

Large margin hierarchical classification.

Ofer Dekel, Joseph Keshet, Yoram Singer

Proceedings of the Machine Learning, 2004

2003

Online Passive-Aggressive Algorithms.

Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Log-Linear Models for Label Ranking.

Ofer Dekel, Christopher D. Manning, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Smooth e-Intensive Regression by Loss Symmetrization.

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

Multiclass Learning by Probabilistic Embeddings.

Ofer Dekel, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002