Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics.
Taiji SuzukiPublished in: CoRR (2020)
Keyphrases
- globally optimal
- infinite dimensional
- map estimation
- neural network training
- maximum a posteriori
- finite dimensional
- graph cuts
- markov random field
- neural network
- training algorithm
- convex sets
- maximum likelihood
- energy function
- em algorithm
- closed curves
- noisy images
- expectation maximization
- optimization method
- image reconstruction
- image restoration
- cost function
- energy minimization
- belief propagation
- shape space
- training process
- image denoising
- similarity measure
- three dimensional