Is SGD a Bayesian sampler? Well, almost.
Chris MingardGuillermo Valle PérezJoar SkalseArd A. LouisPublished in: CoRR (2020)
Keyphrases
- posterior distribution
- sequential monte carlo
- markov chain monte carlo
- markov chain
- monte carlo
- bayesian networks
- gibbs sampler
- bayesian estimation
- bayesian learning
- maximum likelihood
- bayesian inference
- bayesian framework
- stochastic gradient descent
- latent variables
- data driven
- loss function
- gaussian processes
- maximum a posteriori
- posterior probability
- maximum entropy
- parameter estimation
- decision theory
- linear combination
- markov random field
- state space
- feature space
- video sequences