Ofer Dekel
22 papers · 1999–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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๐บ๏ธ Taxonomy Completionist (37) ๐ Academic Marathon ยท Ultra ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
๐ฑ
Topic Pioneer
๐
Keyword Trendsetter Combo
(7)
๐งญ
Keyword Pioneer
๐
Keyword Champion
๐
Trend Setter
๐ฅ
Unstoppable ยท Bronze
๐
Conference Pioneer
๐
Century Club ยท Bronze
๐๏ธ
Keyword Collector
(101)
Top co-authors
Research topics
Machine Learning
(20)
Optimization & Theory
(15)
Mathematics & Optimization
(10)
Learning Types
(10)
Optimization
(10)
Core Methods
(6)
Artificial Intelligence
(4)
Application Areas
(3)
Deep Learning
(2)
Core AI
(2)
Learning Paradigms
(2)
Computer Science
(1)
Reinforcement Learning
(1)
Applications
(1)
Methods
(1)
Keywords
online learning
(12)
regret bound
(8)
bandit feedback
(3)
regret minimization
(3)
minimax regret
(3)
multi-armed bandit
(3)
multiclass-multilabel classification
(2)
gradient descent
(2)
binary classification
(2)
bandit convex optimization
(2)
stochastic optimization
(2)
sparse classifier
(2)
loss function
(2)
weakly supervised learning
(1)
sequential decision making
(1)
model selection
(1)
hierarchical classification
(1)
statistical analysis
(1)
multi-task learning
(1)
active learning
(1)
Papers
VTC: DNN Compilation with Virtual Tensors for Data Movement Elimination
OSDI 2026
Learning SMaLL Predictors
NeurIPS 2018
Adaptive Neural Networks for Efficient Inference
ICML 2017
Online Learning with a Hint
NeurIPS 2017
Bandit Convex Optimization: \sqrtT Regret in One Dimension
COLT 2015
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
NeurIPS 2015
Online Learning with Feedback Graphs: Beyond Bandits
COLT 2015
Online Learning with Composite Loss Functions
COLT 2014
The Blinded Bandit: Learning with Adaptive Feedback
NeurIPS 2014
Better Rates for Any Adversarial Deterministic MDP
ICML 2013
Online Learning with Switching Costs and Other Adaptive Adversaries
NeurIPS 2013
Optimal Distributed Online Prediction Using Mini-Batches
JMLR 2012
Selective Sampling and Active Learning from Single and Multiple Teachers
JMLR 2012
Thereโs a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems
AISTATS 2012
Multiclass-Multilabel Classification with More Classes than Examples
AISTATS 2010
Distribution-Calibrated Hierarchical Classification
NeurIPS 2009
From Online to Batch Learning with Cutoff-Averaging
NeurIPS 2008
Online Learning of Multiple Tasks with a Shared Loss
JMLR 2007
Online Passive-Aggressive Algorithms
JMLR 2006
Support Vector Machines on a Budget
NeurIPS 2006
Smooth ฮต-Insensitive Regression by Loss Symmetrization
JMLR 2005
A Boosting Algorithm for Label Covering in Multilabel Problems
AISTATS 1999