| Sample compression for real-valued learners S Hanneke, A Kontorovich, M Sadigurschi Algorithmic Learning Theory, 466-488, 2019 | 13 | 2019 |
| Adaptive Data Analysis with Correlated Observations A Kontorovich, M Sadigurschi, U Stemmer International Conference on Machine Learning, 11483-11498, 2022 | 5 | 2022 |
| On the sample complexity of privately learning axis-aligned rectangles M Sadigurschi, U Stemmer Advances in Neural Information Processing Systems 34, 28286-28297, 2021 | 3 | 2021 |
| Agnostic sample compression for linear regression S Hanneke, A Kontorovich, M Sadigurschi arXiv preprint arXiv:1810.01864, 2018 | 1 | 2018 |
| Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model M Sadigurschi, M Shechner, U Stemmer arXiv preprint arXiv:2301.09203, 2023 | | 2023 |
| Differentially-Private Bayes Consistency O Bousquet, H Kaplan, A Kontorovich, Y Mansour, S Moran, ... arXiv preprint arXiv:2212.04216, 2022 | | 2022 |
| Efficient Conversion of Learners to Bounded Sample Compressors S Hanneke, A Kontorovich, M Sadigurschi Proceedings of Machine Learning Research vol 75, 1-21, 2018 | | 2018 |
Aryeh KontorovichProfessor of Computer Science at Ben-Gurion UniversityVahvistettu sähköpostiosoite verkkotunnuksessa cs.bgu.ac.il
