67 citations · 67 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Variational Learning Induces Adaptive Label Smoothing
Sin-Han Yang, Zhedong Liu, Gian Maria Marconi +1
We show that variational learning naturally induces an adaptive label smoothing where label noise is specialized for each example. Such label-smoothing is useful to handle examples…
stat.ME2023★ 67 cited
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
A. Adin, E. Krainski, A. Lenzi +3
Standard techniques such as leave-one-out cross-validation (LOOCV) might not be suitable for evaluating the predictive performance of models incorporating structured random effects…
stat.CO2022
Leave-group-out cross-validation for latent Gaussian models
Zhedong Liu, Janet Van Niekerk, Haavard Rue
Evaluating the predictive performance of a statistical model is commonly done using cross-validation. Among the various methods, leave-one-out cross-validation (LOOCV) is frequentl…