Josse, Julie

17 publications

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

AISTATS 2025 Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments Houssam Zenati, Judith Abécassis, Julie Josse, Bertrand Thirion

JMLR 2025 Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data Pan Zhao, Julie Josse, Shu Yang

AISTATS 2025 Federated Causal Inference: Multi-Study ATE Estimation Beyond Meta-Analysis Rémi Khellaf, Aurélien Bellet, Julie Josse

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

AISTATS 2024 MMD-Based Variable Importance for Distributional Random Forest Clément Bénard, Jeffrey Näf, Julie Josse

AISTATS 2024 Positivity-Free Policy Learning with Observational Data Pan Zhao, Antoine Chambaz, Julie Josse, Shu Yang

ICML 2023 Conformal Prediction with Missing Values Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano

ICML 2022 Adaptive Conformal Predictions for Time Series Margaux Zaffran, Olivier Feron, Yannig Goude, Julie Josse, Aymeric Dieuleveut

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

NeurIPS 2020 Debiasing Averaged Stochastic Gradient Descent to Handle Missing Values Aude Sportisse, Claire Boyer, Aymeric Dieuleveut, Julie Josse

NeurIPS 2020 Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not at Random Data Aude Sportisse, Claire Boyer, Julie Josse

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

ICML 2020 Missing Data Imputation Using Optimal Transport Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi

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

NeurIPS 2018 Low-Rank Interaction with Sparse Additive Effects Model for Large Data Frames Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Eric Moulines

JMLR 2016 Bootstrap-Based Regularization for Low-Rank Matrix Estimation Julie Josse, Stefan Wager