Publications
Journal & Conference Papers
Semi-Supervised Hypothesis Testing by Betting on Predictions(code)
Y. Tenzer, E. Tolochinsky, Y. Romano
International Conference on Machine Learning (ICML), 2026
Crowdsourcing Regression: A Spectral Approach
Y. Tenzer, O. Dror, B. Nadler, E. Bilal, Y. Kluger
Proceedings of Machine Learning Research (PMLR), 2022
Testing Independence under Biased-Sampling
Y. Tenzer, M. Mandel, O. Zuk
Journal of the American Statistical Association, 2022
Beyond Trees: Classification with Sparse Pairwise Dependencies
Y. Tenzer, A. Moscovich, C. Spiegelman, B. Nadler
Journal of Machine Learning, 2020
Discovering non-Gaussian Hidden Variables – The Generalized Ideal Parent Approach
Y. Tenzer, I. Slovetchik, A. Wiesel, G. Elidan
International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
Constraints Based Convex Belief Propagation
Y. Tenzer, K. Gimpel, T. Hazan
International Conference on Neural Information Processing Systems (NIPS), 2016
Efficient Learning of Copula Bayesian Networks
Y. Tenzer, G. Elidan
International Joint Statistical Meeting (JSM), 2014
HELM: Highly Efficient Learning of Mixed Copula Networks
Y. Tenzer, G. Elidan
International Conference on Uncertainty in Artificial Intelligence (UAI), 2014
Speedy Model Selection (SMS) for Copula Models
Y. Tenzer, G. Elidan
International Conference on Uncertainty in Artificial Intelligence (UAI), 2013
A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition
Y. Tenzer, O. Barkan, A. Averbuch, S. Dekel
Mathematical Models for Curves and Surfaces (MMCS), 2012
Preprints
Valid Best-Model Identification for LLM Evaluation via Low-Rank Factorization
E. Tolochinsky, Y. Tenzer, Y. Romano
2026