Author

Samuel Rey

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Preprint Oct 2026

Sparse Experimental Design for Nonsmooth Estimators via Bilevel Optimization

Optimal experimental design (OED) decides which measurements to acquire for downstream estimation. Classically, this is done by optimizing an information criterion derived from a linear-Gaussian model, for which the estimator is available in closed form. Many modern estimators such as Lasso, elastic net, or total-varia...

Antonio G. Marqués, Samuel Rey · 0 citations

#machine learning Preprint Oct 2026

Joint Precision Neural Networks: Task-Aware Dependency and Predictive Learning

Exploiting meaningful latent structures from data to solve downstream tasks is a fundamental challenge in signal processing and machine learning. While Principal Component Analysis (PCA) and coVariance Neural Networks (VNNs) successfully leverage the covariance matrix to process data, they inherently capture both direc...

Andrea Cavallo, Samuel Rey, Antonio G. Marques et al. · 0 citations