most citedTreatment Effect Estimation in Causal Survival Analysis: Practical Recommendations

2 citations · 3 across the 10 of their papers we have counts for

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stat.ML2026

Preference-based Conditional Treatment Effects and Policy Learning

Dovid Parnas, Mathieu Even, Julie Josse +1

We introduce a new preference-based framework for conditional treatment effect estimation and policy learning, built on the Conditional Preference-based Treatment Effect (CPTE). CP…

stat.ML2026

Principled Federated Random Forests for Heterogeneous Data

Rémi Khellaf, Erwan Scornet, Aurélien Bellet +1

Random Forests (RF) are among the most powerful and widely used predictive models for centralized tabular data, yet few methods exist to adapt them to the federated learning settin…