| 2026 | COLT | On the Importance of Randomization in Discriminative Feature Feedback. | Valentio Iverson, Tosca Lechner, Sivan Sabato |
| 2025 | ICML | Disparate Conditional Prediction in Multiclass Classifiers. | Sivan Sabato, Eran Treister, Elad Yom-Tov |
| 2024 | ALT | Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies. | Shlomi Weitzman, Sivan Sabato |
| 2023 | AISTATS | Fast Distributed k-Means with a Small Number of Rounds. | Tom Hess, Ron Visbord, Sivan Sabato |
| 2023 | AISTATS | Improved Robust Algorithms for Learning with Discriminative Feature Feedback. | Sivan Sabato |
| 2023 | AISTATS | On the Capacity Limits of Privileged ERM. | Michal Sharoni, Sivan Sabato |
| 2022 | AAAI | A Fast Algorithm for PAC Combinatorial Pure Exploration. | Noa Ben-David, Sivan Sabato |
| 2021 | AAAI | Active Feature Selection for the Mutual Information Criterion. | Shachar Schnapp, Sivan Sabato |
| 2021 | ICML | Approximating a Distribution Using Weight Queries. | Nadav Barak, Sivan Sabato |
| 2020 | AISTATS | Robust Learning from Discriminative Feature Feedback. | Sanjoy Dasgupta, Sivan Sabato |
| 2020 | AISTATS | Sequential no-Substitution k-Median-Clustering. | Tom Hess, Sivan Sabato |
| 2020 | ICML | Bounding the fairness and accuracy of classifiers from population statistics. | Sivan Sabato, Elad Yom-Tov |
| 2020 | ITA | Universal Bayes Consistency in Metric Spaces. | Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss |
| 2019 | AAAI | Temporal Anomaly Detection: Calibrating the Surprise. | Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer |
| 2019 | IJCAI | A Walkthrough for the Principle of Logit Separation. | Gil Keren, Sivan Sabato, Bjrn W. Schuller |
| 2018 | ICDM | Fast Single-Class Classification and the Principle of Logit Separation. | Gil Keren, Sivan Sabato, Bjrn W. Schuller |
| 2017 | AAAI | Tunable Sensitivity to Large Errors in Neural Network Training. | Gil Keren, Sivan Sabato, Bjrn W. Schuller |
| 2016 | ALT | Submodular Learning and Covering with Response-Dependent Costs. | Sivan Sabato |
| 2016 | COLT | Interactive Algorithms: from Pool to Stream. | Sivan Sabato, Tom Hess |
| 2014 | ICML | Heavy-tailed regression with a generalized median-of-means. | Daniel J. Hsu, Sivan Sabato |
| 2013 | AISTATS | Clustering Oligarchies. | Margareta Ackerman, Shai Ben-David, David Loker, Sivan Sabato |
| 2013 | ICML | Efficient Active Learning of Halfspaces: an Aggressive Approach. | Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz |
| 2013 | ICML | Feature Multi-Selection among Subjective Features. | Sivan Sabato, Adam Kalai |
| 2009 | COLT | Homogeneous Multi-Instance Learning with Arbitrary Dependence. | Sivan Sabato, Naftali Tishby |
| 2008 | ALT | Learning and Generalization with the Information Bottleneck. | Ohad Shamir, Sivan Sabato, Naftali Tishby |
| 2007 | COLT | Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking. | Sivan Sabato, Shai Shalev-Shwartz |
| 2007 | CPAIOR | Preprocessing Expression-Based Constraint Satisfaction Problems for Stochastic Local Search. | Sivan Sabato, Yehuda Naveh |