2024
Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens
ICML 2024poster
Research into optimisation for deep learning is characterised by a tension between the computational efficiency of first-order, gradient-based methods (such as SGD and Adam) and the theoretical efficiency of second-order, curvature-based methods (such as quasi-Newton methods and K-FAC). Noting that…