Research map / Learning theory and algorithms / Kernels and regression theory
Provably tuning the ElasticNet across instances
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
- New Bounds for Hyperparameter Tuning of Regression Problems Across Instances (NeurIPS 2023 · similarity 0.88)
- Toward Better Generalization Bounds with Locally Elastic Stability (ICML 2021 · similarity 0.87)
- Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function (ICML 2026 · similarity 0.87)
- The Benefits of Implicit Regularization from SGD in Least Squares Problems (NeurIPS 2021 · similarity 0.86)
- Optimal Ridge Regularization for Out-of-Distribution Prediction (ICML 2024 · similarity 0.85)
- Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms (NeurIPS 2024 · similarity 0.85)
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.
