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stat.ML2024★ 1 cited
Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression
Lucas Clarté, Adrien Vandenbroucque, Guillaume Dalle +3
We investigate popular resampling methods for estimating the uncertainty of statistical models, such as subsampling, bootstrap and the jackknife, and their performance in high-dime…
stat.ML2022★ 2 cited
Learning with Combinatorial Optimization Layers: a Probabilistic Approach
Guillaume Dalle, Léo Baty, Louis Bouvier +1
Combinatorial optimization (CO) layers in machine learning (ML) pipelines are a powerful tool to tackle data-driven decision tasks, but they come with two main challenges. First, t…