3 papers
cs.CR2026
Private and Robust Contribution Evaluation in Federated Learning
Delio Jaramillo Velez, Gergely Biczok, Alexandre Graell i Amat +2
Cross-silo federated learning allows multiple organizations to collaboratively train machine learning models without sharing raw data, but client updates can still leak sensitive i…
stat.ME2022
From -Values to Posterior Probabilities of Hypothesis
D. Vélez, L. R. Pericchi, M. E. Pérez
Minimum Bayes factors are commonly used to transform two-sided p-values to lower bounds on the posterior probability of the null hypothesis, as in Pericchi et al. (2017). In this a…
stat.ME2020
Increasing the Replicability for Linear Models via Adaptive Significance Levels
D. Vélez, M. E. Pérez, L. R. Pericchi
We put forward an adaptive alpha (Type I Error) that decreases as the information grows, for hypothesis tests in which nested linear models are compared. A less elaborate adaptatio…