Near-optimal rate of consistency for linear models with missing values. - Alexis Ayme; Claire Boyer; Aymeric Dieuleveut; Erwan Scornet (ICML, 2022)

Minimax rate of consistency for linear models with missing values. - Alexis Ayme; Claire Boyer; Aymeric Dieuleveut; Erwan Scornet (CoRR, 2022)

Naive imputation implicitly regularizes high-dimensional linear models. - Alexis Ayme; Claire Boyer; Aymeric Dieuleveut; Erwan Scornet (ICML, 2023)

Random features models: a way to study the success of naive imputation. - Alexis Ayme; Claire Boyer; Aymeric Dieuleveut; Erwan Scornet (ICML, 2024)

A primer on linear classification with missing data. - Angel David Reyero Lobo; Alexis Ayme; Claire Boyer; Erwan Scornet (AISTATS, 2025)