LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations.
Brian L. TrippeJonathan H. HugginsRaj AgrawalTamara BroderickPublished in: CoRR (2019)
Keyphrases
- bayesian inference
- high dimensional data
- high dimensional
- low rank
- missing data
- data analysis
- data sets
- training data
- low dimensional
- dimensionality reduction
- original data
- small number
- data points
- prior knowledge
- semi supervised
- input data
- probabilistic model
- optical flow
- missing values
- closed form
- prior information
- pattern recognition
- incomplete data
- singular values