most citedDistribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ML2026★ 1 cited

Distribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation

Diego Marcondes, Cláudia Peixoto

Cross-validation is one of the most widely used tools for risk estimation and model selection in statistics and machine learning, yet its theoretical properties when embedded in a…