World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6879
World Ranking
13872
National Ranking
5514

Overview

Ofer Dekel is affiliated with Microsoft in the United States. Their research profile does not currently list recent publications, specific fields, or subfields of study, but their professional affiliation suggests involvement in technological or computational research sectors.

No frequent co-authors or publication venues have been identified, which may indicate a relatively focused or emerging research trajectory, or limited publicly available bibliographic data. There are no known book publications attributed to them.

The absence of recorded awards or honors suggests that recognition in the form of prizes has either not been documented or is yet to be attained within available metadata.

Ofer Dekel's available data does not specify primary research topics or thematic areas of work, restricting detailed insight into their scientific interests based on current records.

Best Publications

  • Online Passive-Aggressive Algorithms

    Koby Crammer;Koby Crammer;Ofer Dekel;Joseph Keshet;Shai Shalev-Shwartz

  • Optimal distributed online prediction using mini-batches

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

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

    Alekh Agarwal;Ofer Dekel;Lin Xiao

  • Large margin hierarchical classification

    Ofer Dekel;Joseph Keshet;Yoram Singer

  • Incentive compatible regression learning

    Ofer Dekel;Felix Fischer;Ariel D. Procaccia

  • Log-Linear Models for Label Ranking

    Ofer Dekel;Yoram Singer;Christopher D Manning

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

    Ofer Dekel;Shai Shalev-Shwartz;Yoram Singer

  • Adaptive neural networks for efficient inference

    Tolga Bolukbasi;Joseph Wang;Ofer Dekel;Venkatesh Saligrama

  • Learning to classify with missing and corrupted features

    Ofer Dekel;Ohad Shamir;Lin Xiao

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

    Ofer Dekel;Ohad Shamir

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

    Raman Arora;Ofer Dekel;Ambuj Tewari

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

    Ofer Dekel;Shai Shalev-shwartz;Yoram Singer

  • Good learners for evil teachers

    Ofer Dekel;Ohad Shamir

  • Online Learning with Feedback Graphs: Beyond Bandits

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

  • Selective sampling and active learning from single and multiple teachers

    Ofer Dekel;Claudio Gentile;Karthik Sridharan

  • Online Passive-Aggressive Algorithms

    Shai Shalev-shwartz;Koby Crammer;Ofer Dekel;Yoram Singer

  • Online multitask learning

    Ofer Dekel;Philip M. Long;Yoram Singer

  • Bandits with switching costs: T 2/3 regret

    Ofer Dekel;Jian Ding;Tomer Koren;Yuval Peres

  • An online algorithm for hierarchical phoneme classification

    Ofer Dekel;Joseph Keshet;Yoram Singer

  • Online Learning of Multiple Tasks with a Shared Loss

    Ofer Dekel;Philip M. Long;Yoram Singer

  • Learning to classify with missing and corrupted features

    Ofer Dekel;Ohad Shamir

  • Robust Selective Sampling from Single and Multiple Teachers.

    Ofer Dekel;Claudio Gentile;Karthik Sridharan

Frequent Co-Authors

Yoram Singer
Yoram Singer Princeton University
Ohad Shamir
Ohad Shamir Weizmann Institute of Science
Lin Xiao
Lin Xiao Facebook (United States)
Shai Shalev-Shwartz
Shai Shalev-Shwartz Hebrew University of Jerusalem
Ariel D. Procaccia
Ariel D. Procaccia Harvard University
Nicolò Cesa-Bianchi
Nicolò Cesa-Bianchi University of Milan
Ambuj Tewari
Ambuj Tewari University of Michigan–Ann Arbor
Koby Crammer
Koby Crammer Technion – Israel Institute of Technology
Venkatesh Saligrama
Venkatesh Saligrama Boston University
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)

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