Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap
NeurIPSSpotlight2025
TL;DR
The sparse additive model (SpAM) offers a trade-off between interpretability and flexibility, and hence is a powerful model for high-dimensional research…
Opening excerpt from the authors’ abstract. source
Read the paper
Topics
interpretability
← All NeurIPS 2025 Spotlight papers · Browse the whole archive