Scornet, Erwan

16 publications

AISTATS 2025 A Primer on Linear Classification with Missing Data Angel David REYERO Lobo, Alexis Ayme, Claire Boyer, Erwan Scornet

NeurIPS 2025 A Unified Framework for the Transportability of Population-Level Causal Measures Ahmed Boughdiri, Clément Berenfeld, Julie Josse, Erwan Scornet

ECML-PKDD 2025 Harnessing Mixed Features for Imbalance Data Oversampling: Application to Bank Customers Scoring Abdoulaye Sakho, Emmanuel Malherbe, Carl-Erik Gauthier, Erwan Scornet

ICML 2025 Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies Ahmed Boughdiri, Julie Josse, Erwan Scornet

ICML 2024 Random Features Models: A Way to Study the Success of Naive Imputation Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet

AISTATS 2023 Is Interpolation Benign for Random Forest Regression? Ludovic Arnould, Claire Boyer, Erwan Scornet

ICML 2023 Naive Imputation Implicitly Regularizes High-Dimensional Linear Models Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet

ICLR 2023 Sparse Tree-Based Initialization for Neural Networks Patrick Lutz, Ludovic Arnould, Claire Boyer, Erwan Scornet

AISTATS 2022 SHAFF: Fast and Consistent SHApley eFfect Estimates via Random Forests Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet

ICML 2022 Near-Optimal Rate of Consistency for Linear Models with Missing Values Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet

AISTATS 2021 Interpretable Random Forests via Rule Extraction Clément Bénard, Gérard Biau, Sébastien Veiga, Erwan Scornet

ICML 2021 Analyzing the Tree-Layer Structure of Deep Forests Ludovic Arnould, Claire Boyer, Erwan Scornet

NeurIPS 2021 What’s a Good Imputation to Predict with Missing Values? Marine Le Morvan, Julie Josse, Erwan Scornet, Gael Varoquaux

AISTATS 2020 Linear Predictor on Linearly-Generated Data with Missing Values: Non Consistency and Solutions Marine Le Morvan, Nicolas Prost, Julie Josse, Erwan Scornet, Gael Varoquaux

NeurIPS 2020 NeuMiss Networks: Differentiable Programming for Supervised Learning with Missing Values. Marine Le Morvan, Julie Josse, Thomas Moreau, Erwan Scornet, Gael Varoquaux

NeurIPS 2017 Universal Consistency and Minimax Rates for Online Mondrian Forests Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet