599 citations · 862 across the 35 of their papers we have counts for
4 papers · 1 filter
Weighting-Based Strategies for Classification: Analysis and Local Peak Dynamics with CART Trees
Abdoulaye Sakho, Emmanuel Malherbe, Erwan Scornet
Tabular learning tasks often suffer from class imbalance, which is often addressed via weighting-based strategies. In this work, we compare the naive approach (unweighted) with the…
Increasing Missingness to Reduce Bias: Richardson-SGD with Missing Data
Ferdinand Genans, Erwan Scornet
Stochastic gradient methods are central to modern large-scale learning, but their use with incomplete covariates remains delicate since imputation schemes generally introduce syste…
On the Inherent Privacy Amplification of Missing Data
Simon Roburin, Rafaël Pinot, Rafa{ë}l Pinot +1
Privacy preservation is critical in many high-stakes domains such as medicine and finance, where sensitive data must be analyzed without compromising individual confidentiality. At…
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…