4 citations · 7 across the 4 of their papers we have counts for
5 papers
Weighted Leave-One-Out Cross Validation
Luc Pronzato, Maria-João Rendas
We present a weighted version of Leave-One-Out (LOO) cross-validation for estimating the Integrated Squared Error (ISE) when approximating an unknown function by a predictor that d…
Model predictivity assessment: incremental test-set selection and accuracy evaluation
Elias Fekhari, Bertrand Iooss, Joseph Muré +2
Unbiased assessment of the predictivity of models learnt by supervised machine-learning methods requires knowledge of the learned function over a reserved test set (not used by the…
Validation design I: construction of validation designs via kernel herding
Luc Pronzato, Maria-João Rendas
We construct validation designs aimed at estimating the integrated squared prediction error of a given design . Our approach is based on the minimization of a maximum me…
Incremental space-filling design based on coverings and spacings: improving upon low discrepancy sequences
Amaya Nogales Gómez, Luc Pronzato, Maria-João Rendas
The paper addresses the problem of defining families of ordered sequences of elements of a compact subset of whose prefixes , fo…
Equitable -edge designs
Jean-Marc Fédou, Maria João Rendas
The paper addresses design of experiments for classifying the input factors of a multi-variate function into negligible, linear and other (non-linear/interaction) factors. We give…