1 citations · 1 across the 5 of their papers we have counts for
7 papers
Extending Item Response Theory for Efficient and Meaningful Multilingual Evaluation
Gili Lior, Tzviel Frostig, Gabriel Stanovsky +1
Multilingual benchmarks are central to evaluating large language models (LLMs) across languages, but they suffer from three issues: exhaustive evaluation scales linearly with the n…
Robust CATE Estimation Using Novel Ensemble Methods
Oshri Machluf, Tzviel Frostig, Gal Shoham +3
The estimation of Conditional Average Treatment Effects (CATE) is crucial for understanding the heterogeneity of treatment effects in clinical trials. We evaluate the performance o…
Causal Responder Detection
Tzviel Frostig, Oshri Machluf, Amitay Kamber +2
We introduce the causal responders detection (CARD), a novel method for responder analysis that identifies treated subjects who significantly respond to a treatment. Leveraging rec…
Direction Preferring Confidence Intervals
Tzviel Frostig, Yoav Benjamini, Ruth Heller
Confidence intervals (CIs) are instrumental in statistical analysis, providing a range estimate of the parameters. In modern statistics, selective inference is common, where only c…
Inferring on joint associations from marginal associations and a reference sample
Tzviel Frostig, Ruth Heller
We present a method to infer on joint regression coefficients obtained from marginal regressions using a reference panel. This type of scenario is common in genetic fine-mapping, w…
A statistical framework for efficient out of distribution detection in deep neural networks
Matan Haroush, Tzviel Frostig, Ruth Heller +1
Background. Commonly, Deep Neural Networks (DNNs) generalize well on samples drawn from a distribution similar to that of the training set. However, DNNs' predictions are brittle a…