On the Variance of the Fisher Information for Deep Learning.
Alexander SoenKe SunPublished in: CoRR (2021)
Keyphrases
- deep learning
- fisher information
- machine learning
- unsupervised learning
- probability density function
- kl divergence
- euclidean space
- noise level
- mental models
- positive definite
- geodesic distance
- covariance matrix
- estimation error
- multidimensional scaling
- weakly supervised
- free energy
- kullback leibler divergence
- exponential family
- standard deviation
- object class
- model selection
- data mining