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Ofer Dekel

20 papers · 2005–2018 · 5 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (11) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (13) 🌟 Keyword Trendsetter Combo (6) 🌱 Topic Pioneer πŸ† Keyword Champion πŸš€ Conference Pioneer πŸ’Ž Century Club (20) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (89) πŸ”₯ Unstoppable (6)

Conferences

NIPS (8) JMLR (5) COLT (3) AISTATS (2) ICML (2)

Top co-authors

Tomer Koren (5) Ohad Shamir (4) Yoram Singer (4) NicolΓ² Cesa-bianchi (2) Elad Hazan (2) Shai Shalev-shwartz (2) Yuval Peres (2) Lin Xiao (2) Karthik Sridharan (1) Vikas Garg (1)

Keywords

online learning (12) regret bound (8) bandit feedback (3) regret minimization (3) multi-armed bandit (3) minimax regret (3) bandit convex optimization (2) stochastic optimization (2) binary classification (2) sparse classifier (2) gradient descent (2) loss function (2) sample complexity (1) weakly supervised learning (1) model selection (1) sequential decision making (1) hierarchical classification (1) multi-task learning (1) active learning (1) convex optimization (1)

Papers

Learning SMaLL Predictors NIPS 2018 Online Learning with a Hint NIPS 2017 Adaptive Neural Networks for Efficient Inference ICML 2017 Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff NIPS 2015 Online Learning with Feedback Graphs: Beyond Bandits COLT 2015 Bandit Convex Optimization: \sqrtT Regret in One Dimension COLT 2015 The Blinded Bandit: Learning with Adaptive Feedback NIPS 2014 Online Learning with Composite Loss Functions COLT 2014 Online Learning with Switching Costs and Other Adaptive Adversaries NIPS 2013 Better Rates for Any Adversarial Deterministic MDP ICML 2013 Selective Sampling and Active Learning from Single and Multiple Teachers JMLR 2012 There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012 Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012 Multiclass-Multilabel Classification with More Classes than Examples AISTATS 2010 Distribution-Calibrated Hierarchical Classification NIPS 2009 From Online to Batch Learning with Cutoff-Averaging NIPS 2008 Online Learning of Multiple Tasks with a Shared Loss JMLR 2007 Online Passive-Aggressive Algorithms JMLR 2006 Support Vector Machines on a Budget NIPS 2006 Smooth Ξ΅-Insensitive Regression by Loss Symmetrization JMLR 2005