Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
Published in AISTATS, 2024
Recommended citation: Khellaf R., Bellet A., Josse J. (2024). "Federated Causal Inference: Multi-sources ATE estimation." AISTATS 2024.
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publications
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
Published in ICML, 2025
Recommended citation: Khellaf, R., Bellet, A., & Josse, J. (2025). Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation." ICML 2026.
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Handling Covariate Mismatch in Federated Linear Prediction
Published in , 2026
Recommended citation: Ayme, A., & Khellaf, R. (2026). Handling Covariate Mismatch in Federated Linear Prediction." Conference Article.
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Principled Federated Random Forests for Heterogeneous Data
Published in , 2026
Recommended citation: Khellaf, R., Scornet, E., Bellet, A., & Josse, J. (2026). Principled Federated Random Forests for Heterogeneous Data." Conference Article.
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Causal meta-analysis: Rethinking the foundations of evidence-based medicine
Published in , 2026
Recommended citation: Berenfeld, C., Boughdiri, A., Colnet, B., van Amsterdam, W. A., Bellet, A., Khellaf, R., Scornet, E. & Josse, J. (2025). Causal meta-analysis: Rethinking the foundations of evidence-based medicine." Journal Article.
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talks
Presentations
Published:
Multi-study ATE estimation in RCT and Observational studies: slides
teaching
Introduction to Probabilistic Graphical Models
Teaching Assistant, M2 Mathématiques / Vision / Apprentissage, 2024