3 citations · 5 across the 5 of their papers we have counts for
6 papers
Semi-Supervised Hypothesis Testing by Betting on Predictions
Yaniv Tenzer, Elad Tolochinsky, Yaniv Romano
We introduce a testing-by-betting framework that leverages predictions on unlabeled data to enhance the power of sequential hypothesis testing. Given limited samples from the joint…
Valid Best-Model Identification for LLM Evaluation via Low-Rank Factorization
Elad Tolochinsky, Yaniv Tenzer, Yaniv Romano
Selecting the best large language model (LLM) for a fixed benchmark is often expensive, since exhaustive evaluation requires running every model on every example. Multi-armed bandi…
Testing Independence under Biased Sampling
Yaniv Tenzer, Micha Mandel, Or Zuk
Testing for association or dependence between pairs of random variables is a fundamental problem in statistics. In some applications, data are subject to selection bias that causes…
Beyond Trees: Classification with Sparse Pairwise Dependencies
Yaniv Tenzer, Amit Moscovich, Mary Frances Dorn +2
Several classification methods assume that the underlying distributions follow tree-structured graphical models. Indeed, trees capture statistical dependencies between pairs of var…
On the Monotonicity of the Copula Entropy
Yaniv Tenzer, Gal Elidan
Understanding the way in which random entities interact is of key interest in numerous scientific fields. This can range from a full characterization of the joint distribution to s…
Speedy Model Selection (SMS) for Copula Models
Yaniv Tenzer, Gal Elidan
We tackle the challenge of efficiently learning the structure of expressive multivariate real-valued densities of copula graphical models. We start by theoretically substantiating…