Bias and variance of the Bayesian-mean decoder.
Arthur Prat-CarrabinMichael WoodfordPublished in: NeurIPS (2021)
Keyphrases
- low variance
- variance reduction
- bias variance decomposition
- low complexity
- bayesian networks
- error concealment
- bayesian estimation
- neural network
- data driven
- bias variance
- real valued
- bayesian learning
- bayesian decision
- bayesian analysis
- prediction error
- trade off
- decision theory
- posterior probability
- covariance matrix
- monte carlo
- sample size
- maximum likelihood