Expectation-Propagation with Low-Rank Constraints for Linear Inverse Problems.
Dongrui ShenStephen McLaughlinYoann AltmannPublished in: EUSIPCO (2023)
Keyphrases
- low rank
- matrix factorization
- missing data
- convex optimization
- linear combination
- semi supervised
- approximate inference
- high dimensional data
- singular value decomposition
- gaussian process
- bayesian inference
- machine learning
- collaborative filtering
- interior point methods
- bayesian methods
- image restoration
- dimensionality reduction
- wavelet transform
- bayesian networks