| Encouraging physical activity in patients with diabetes: intervention using a reinforcement learning system E Yom-Tov, G Feraru, M Kozdoba, S Mannor, M Tennenholtz, I Hochberg Journal of medical Internet research 19 (10), e338, 2017 | 203 | 2017 |
| Community detection via measure space embedding M Kozdoba, S Mannor Advances in neural information processing systems 28, 2015 | 39 | 2015 |
| Encouraging physical activity in diabetes patients through automatic personalized feedback via reinforcement learning improves glycemic control I Hochberg, G Feraru, M Kozdoba, S Mannor, M Tennenholtz, E Yom-Tov Diabetes care, 2016 | 33 | 2016 |
| On-line learning of linear dynamical systems: Exponential forgetting in kalman filters M Kozdoba, J Marecek, T Tchrakian, S Mannor Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4098-4105, 2019 | 31 | 2019 |
| A reinforcement learning system to encourage physical activity in diabetes patients I Hochberg, G Feraru, M Kozdoba, S Mannor, M Tennenholtz, E Yom-Tov arXiv preprint arXiv:1605.04070, 2016 | 15 | 2016 |
| Extension of Banach Space Valued Lipschitz Fubctions M Kozdoba Technion-Israel Institute of Technology, Faculty of Mathematics, 2005 | 4 | 2005 |
| Topic modeling via full dependence mixtures D Fisher, M Kozdoba, S Mannor International Conference on Machine Learning, 3188-3198, 2020 | 2 | 2020 |
| Source estimation in time series and the surprising resilience of HMMs M Kozdoba, S Mannor IEEE Transactions on Information Theory 64 (8), 5555-5569, 2018 | 2 | 2018 |
| Whats Missing? Learning Hidden Markov Models When the Locations of Missing Observations are Unknown [J] B Perets, M Kozdoba, S Mannor CoRR, 2022 | 1 | 2022 |
| Multi instance learning for unbalanced data M Kozdoba, E Moroshko, L Shani, T Takagi, T Katoh, S Mannor, ... arXiv preprint arXiv:1812.07010, 2018 | 1 | 2018 |
| On projections of metric spaces M Kozdoba Journal of Computational Geometry 5 (1), 275–283, 2014 | 1 | 2014 |
| Implicitly Normalized Explicitly Regularized Density Estimation M Kozdoba, B Perets, S Mannor arXiv preprint arXiv:2307.13763, 2023 | | 2023 |
| Learning hidden Markov models when the locations of missing observations are unknown B Perets, M Kozdoba, S Mannor International Conference on Machine Learning, 27642-27667, 2023 | | 2023 |
| Finite sample analysis of dynamic regression parameter learning M Kozdoba, E Moroshko, S Mannor, Y Crammer Advances in Neural Information Processing Systems 35, 24380-24391, 2022 | | 2022 |
| Dimension Free Generalization Bounds for Non Linear Metric Learning M Kozdoba, S Mannor arXiv preprint arXiv:2102.03802, 2021 | | 2021 |
| Interdependent Gibbs Samplers M Kozdoba, S Mannor arXiv preprint arXiv:1804.03958, 2018 | | 2018 |
| How Much is Typical Better Than Worst in High Dimensions M Kozdoba Technion-Israel Institute of Technology, Faculty of Mathematics, 2010 | | 2010 |
| Sobolev Space Regularised Pre Density Models M Kozdoba, B Perets, S Mannor Forty-first International Conference on Machine Learning, 0 | | |
| Unnormalized Density Estimation with Root Sobolev Norm Regularization M Kozdoba, B Perets, S Mannor NeurIPS 2023 Second Table Representation Learning Workshop, 0 | | |
