Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty.
Jeffrey Ryan WilletteHaebeom LeeJuho LeeSung Ju HwangPublished in: CoRR (2021)
Keyphrases
- meta learning
- low rank
- missing data
- inductive learning
- convex optimization
- learning tasks
- linear combination
- matrix factorization
- low rank matrix
- model selection
- matrix completion
- machine learning algorithms
- singular value decomposition
- rank minimization
- semi supervised
- decision trees
- high dimensional data
- high order
- data mining
- pairwise
- feature selection
- base classifiers
- database
- markov random field
- least squares
- face recognition
- metamodel
- machine learning
- real world
- data sets