Improving Optimization: Second-Order Methods for Momentum

This ArXiv paper likely explores advancements in optimization techniques, specifically focusing on momentum methods enhanced with second-order information for machine learning. The research aims to improve convergence and performance in training AI models.

• •Explores improvements in momentum-based optimization algorithms.
• •Utilizes second-order information for potentially faster convergence.
• •Targets improvements in training AI models.