| Speedy model selection (SMS) for copula models Y Tenzer, G Elidan arXiv preprint arXiv:1309.6867, 2013 | 8 | 2013 |
| Testing independence under biased sampling Y Tenzer, M Mandel, O Zuk Journal of the American Statistical Association 117 (540), 2194-2206, 2022 | 7 | 2022 |
| On the monotonicity of the copula entropy Y Tenzer, G Elidan arXiv preprint arXiv:1611.06714, 2016 | 5 | 2016 |
| Generalized Ideal Parent (GIP): Discovering non-Gaussian Hidden Variables Y Tenzer, G Elidan Artificial Intelligence and Statistics, 222-230, 2016 | 2 | 2016 |
| HELM: Highly Efficient Learning of Mixed copula networks. Y Tenzer, G Elidan UAI, 790-799, 2014 | 2 | 2014 |
| A mathematical model for extremely low dose adaptive computed tomography acquisition O Barkan, A Averbuch, S Dekel, Y Tenzer Mathematical Methods for Curves and Surfaces: 8th International Conference …, 2014 | 2 | 2014 |
| Crowdsourcing Regression: A Spectral Approach Y Tenzer, O Dror, B Nadler, E Bilal, Y Kluger International Conference on Artificial Intelligence and Statistics, 5225-5242, 2022 | 1 | 2022 |
| Beyond trees: Classification with sparse pairwise dependencies Y Tenzer, A Moscovich, MF Dorn, B Nadler, C Spiegelman Journal of Machine Learning Research 21 (189), 1-33, 2020 | 1 | 2020 |
| Constraints based convex belief propagation Y Tenzer, A Schwing, K Gimpel, T Hazan Proceedings of the 30th International Conference on Neural Information …, 2016 | | 2016 |
| Constraints Based Convex Belief Propagation A Schwing, K Gimpel, T Hazan Advances in Neural Information Processing Systems 29, 2016 | | 2016 |
