Research map / Learning theory and algorithms / Kernels and regression theory
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
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
- On the Asymptotic Distribution of the Minimum Empirical Risk (ICML 2024 · similarity 0.89)
- Tilted Empirical Risk Minimization (ICLR 2021 · similarity 0.89)
- Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization (ICML 2018 · similarity 0.89)
- Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View (AAAI 2019 · similarity 0.88)
- Asymptotic Theory of Iterated Empirical Risk Minimization, with Applications to Active Learning (ICML 2026 · similarity 0.88)
- The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli (ICML 2025 · similarity 0.87)
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.
