| 2025 | ALT | Sharp bounds on aggregate expert error. | Aryeh Kontorovich, Ariel Avital |
| 2025 | ICML | The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli. | Doron Cohen, Aryeh Kontorovich, Roi Weiss |
| 2024 | ALT | Efficient Agnostic Learning with Average Smoothness. | Steve Hanneke, Aryeh Kontorovich, Guy Kornowski |
| 2024 | COLT | Correlated Binomial Process. | Mose Blanchard, Doron Cohen, Aryeh Kontorovich |
| 2024 | ICML | Agnostic Sample Compression Schemes for Regression. | Idan Attias, Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi |
| 2023 | COLT | Local Glivenko-Cantelli. | Doron Cohen, Aryeh Kontorovich |
| 2023 | COLT | Open problem: log(n) factor in "Local Glivenko-Cantelli. | Doron Cohen, Aryeh Kontorovich |
| 2022 | COLT | Learning with metric losses. | Dan Tsir Cohen, Aryeh Kontorovich |
| 2022 | ICML | Adaptive Data Analysis with Correlated Observations. | Aryeh Kontorovich, Menachem Sadigurschi, Uri Stemmer |
| 2021 | AISTATS | Nested Barycentric Coordinate System as an Explicit Feature Map. | Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele |
| 2021 | ALT | Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound. | Steve Hanneke, Aryeh Kontorovich |
| 2021 | COLT | Functions with average smoothness: structure, algorithms, and learning. | Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich |
| 2020 | AISTATS | Fast and Bayes-consistent nearest neighbors. | Klim Efremenko, Aryeh Kontorovich, Moshe Noivirt |
| 2020 | AISTATS | Minimax Testing of Identity to a Reference Ergodic Markov Chain. | Geoffrey Wolfer, Aryeh Kontorovich |
| 2020 | ALT | Algorithmic Learning Theory 2020: Preface. | Aryeh Kontorovich, Gergely Neu |
| 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 | ALT | Improved Generalization Bounds for Robust Learning. | Idan Attias, Aryeh Kontorovich, Yishay Mansour |
| 2019 | ALT | A Sharp Lower Bound for Agnostic Learning with Sample Compression Schemes. | Steve Hanneke, Aryeh Kontorovich |
| 2019 | ALT | Sample Compression for Real-Valued Learners. | Steve Hanneke, Aryeh Kontorovich, Menachem Sadigurschi |
| 2019 | ALT | Minimax Learning of Ergodic Markov Chains. | Geoffrey Wolfer, Aryeh Kontorovich |
| 2019 | COLT | Estimating the Mixing Time of Ergodic Markov Chains. | Geoffrey Wolfer, Aryeh Kontorovich |
| 2018 | VTC | Advanced Analytics for Connected Car Cybersecurity. | Matan Levi, Yair Allouche, Aryeh Kontorovich |
| 2016 | AISTATS | Nearly Optimal Classification for Semimetrics. | Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch |
| 2015 | AISTATS | A Bayes consistent 1-NN classifier. | Aryeh Kontorovich, Roi Weiss |
| 2014 | ICML | Concentration in unbounded metric spaces and algorithmic stability. | Aryeh Kontorovich |
| 2014 | ICML | Maximum Margin Multiclass Nearest Neighbors. | Aryeh Kontorovich, Roi Weiss |
| 2014 | ISAIM | Boosting Conditional Probability Estimators. | Dan Gutfreund, Aryeh Kontorovich, Ran Levy, Michal Rosen-Zvi |
| 2013 | ALT | Adaptive Metric Dimensionality Reduction. | Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer |
| 2013 | ICML | On learning parametric-output HMMs. | Aryeh Kontorovich, Boaz Nadler, Roi Weiss |
| 2013 | ISIT | Efficient determination of the unique decodability of a string. | Arnold Filtser, Jiaxi Jin, Aryeh Kontorovich, Ari Trachtenberg |
| 2013 | ITA | Determining the unique decodability of a string in linear time. | Jiaxi Jin, Aryeh Kontorovich, Ari Trachtenberg |
| 2012 | ALT | On the Learnability of Shuffle Ideals. | Dana Angluin, James Aspnes, Aryeh Kontorovich |
| 2012 | ISIT | String reconciliation with unknown edit distance. | Aryeh Kontorovich, Ari Trachtenberg |