Co-occurring keywords · papers mentioning both
Papers
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
NeurIPS 2024
A Mini-Block Fisher Method for Deep Neural Networks
AISTATS 2023
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
NeurIPS 2021
Limitations of the empirical Fisher approximation for natural gradient descent
NeurIPS 2019