Accelerating Gradient Descent: Momentum and Extrapolation for Robust Optimization
Published:Dec 10, 2025 19:39
•1 min read
•ArXiv
Analysis
This research explores enhancements to the widely-used heavy-ball momentum method within gradient descent. The application of predictive extrapolation in this context could lead to significant improvements in training efficiency and model performance.
Key Takeaways
- •Focuses on improving the robustness of gradient descent.
- •Utilizes heavy-ball momentum with predictive extrapolation.
- •Potentially increases training speed and model quality.
Reference
“The article is sourced from ArXiv, indicating a pre-print research paper.”