Research map / Optimization / Implicit bias and generalization
Benign Underfitting of Stochastic Gradient Descent
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
- Asymptotic theory of SGD with a general learning-rate (NeurIPS 2025 · similarity 0.92)
- Global Convergence and Stability of Stochastic Gradient Descent (NeurIPS 2022 · similarity 0.92)
- Data-Dependent Stability of Stochastic Gradient Descent (ICML 2018 · similarity 0.92)
- Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization (ICML 2025 · similarity 0.92)
- Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective (NeurIPS 2024 · similarity 0.91)
- Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime (NeurIPS 2025 · similarity 0.90)
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.
