Research map / Learning theory and algorithms / Prediction and decision losses
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Bilevel learning of the Group Lasso structure (NeurIPS 2018 · similarity 0.84)
- A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces (ICML 2024 · similarity 0.84)
- A Functional Extension of Semi-Structured Networks (NeurIPS 2024 · similarity 0.83)
- Robust group and simultaneous inferences for high-dimensional single index model (NeurIPS 2024 · similarity 0.83)
- Most Influential Subset Selection: Challenges, Promises, and Beyond (NeurIPS 2024 · similarity 0.83)
- Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant (ICML 2025 · similarity 0.82)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.