Research map / Optimization / Optimizers
Distributed Second-Order Optimization using Kronecker-Factored Approximations
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
- Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures (NeurIPS 2023 · similarity 0.91)
- Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks (NeurIPS 2024 · similarity 0.88)
- Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens (ICML 2024 · similarity 0.87)
- FOSI: Hybrid First and Second Order Optimization (ICLR 2024 · similarity 0.87)
- Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness (ICLR 2024 · similarity 0.86)
- Global curvature for second-order optimization of neural networks (ICML 2025 · similarity 0.86)
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.