Research map / Optimization / Implicit bias and generalization
The alignment property of SGD noise and how it helps select flat minima: A stability analysis
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 Linear Stability of SGD and Input-Smoothness of Neural Networks (NeurIPS 2021 · similarity 0.93)
- Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent (ICML 2020 · similarity 0.93)
- Global Convergence and Stability of Stochastic Gradient Descent (NeurIPS 2022 · similarity 0.93)
- A Precise Characterization of SGD Stability Using Loss Surface Geometry (ICLR 2024 · similarity 0.92)
- A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias (NeurIPS 2025 · similarity 0.92)
- Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent (AAAI 2025 · similarity 0.91)
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.
