Arc Gradient Descent: A Novel Approach to Optimization
Published:Dec 7, 2025 09:03
•1 min read
•ArXiv
Analysis
The paper introduces a mathematically derived reformulation of gradient descent, aiming for improved optimization. The focus on phase-aware, user-controlled step dynamics suggests a potential for more efficient and adaptable training processes.
Key Takeaways
Reference
“Arc Gradient Descent is a mathematically derived reformulation of Gradient Descent.”