| 2018 | UAI | Sparse Multi-Prototype Classification. | Vikas K. Garg, Lin Xiao, Ofer Dekel |
| 2017 | ICML | Adaptive Neural Networks for Efficient Inference. | Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama |
| 2017 | ISCA | Machine learning on the edge. | Ofer Dekel |
| 2015 | COLT | Online Learning with Feedback Graphs: Beyond Bandits. | Noga Alon, Nicol Cesa-Bianchi, Ofer Dekel, Tomer Koren |
| 2015 | COLT | Bandit Convex Optimization: \(\sqrt{T}\) Regret in One Dimension. | Sbastien Bubeck, Ofer Dekel, Tomer Koren, Yuval Peres |
| 2014 | COLT | Online Learning with Composite Loss Functions. | Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres |
| 2014 | STOC | Bandits with switching costs: | Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres |
| 2013 | ICML | Better Rates for Any Adversarial Deterministic MDP. | Ofer Dekel, Elad Hazan |
| 2012 | ICML | Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret. | Ofer Dekel, Ambuj Tewari, Raman Arora |
| 2012 | UAI | Deterministic MDPs with Adversarial Rewards and Bandit Feedback. | Raman Arora, Ofer Dekel, Ambuj Tewari |
| 2011 | ICML | Optimal Distributed Online Prediction. | Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao |
| 2011 | ICML | Bundle Selling by Online Estimation of Valuation Functions. | Daniel Vainsencher, Ofer Dekel, Shie Mannor |
| 2010 | COLT | Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. | Alekh Agarwal, Ofer Dekel, Lin Xiao |
| 2010 | COLT | Robust Selective Sampling from Single and Multiple Teachers. | Ofer Dekel, Claudio Gentile, Karthik Sridharan |
| 2009 | COLT | Vox Populi: Collecting High-Quality Labels from a Crowd. | Ofer Dekel, Ohad Shamir |
| 2009 | ICML | Good learners for evil teachers. | Ofer Dekel, Ohad Shamir |
| 2008 | ICML | Learning to classify with missing and corrupted features. | Ofer Dekel, Ohad Shamir |
| 2008 | SODA | Incentive compatible regression learning. | Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia |
| 2006 | COLT | Online Multitask Learning. | Ofer Dekel, Philip M. Long, Yoram Singer |
| 2004 | ICML | Large margin hierarchical classification. | Ofer Dekel, Joseph Keshet, Yoram Singer |
| 2003 | COLT | Smooth e-Intensive Regression by Loss Symmetrization. | Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer |