5 citations · 5 across the 2 of their papers we have counts for
2 papers
stat.ME2025
Cross Validation for Correlated Data in Regression and Classification Models, with Applications to Deep Learning
Oren Yuval, Saharon Rosset
We present a methodology for model evaluation and selection where the sampling mechanism violates the i.i.d. assumption. Our methodology involves a formulation of the bias between…
stat.ML2020★ 5 cited
Semi-Supervised Empirical Risk Minimization: Using unlabeled data to improve prediction
Oren Yuval, Saharon Rosset
We present a general methodology for using unlabeled data to design semi supervised learning (SSL) variants of the Empirical Risk Minimization (ERM) learning process. Focusing on g…