Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty.
Jeffrey Ryan WilletteHae Beom LeeJuho LeeSung Ju HwangPublished in: ICLR (2022)
Keyphrases
- meta learning
- low rank
- missing data
- learning tasks
- inductive learning
- matrix factorization
- linear combination
- convex optimization
- model selection
- low rank matrix
- singular value decomposition
- matrix completion
- machine learning algorithms
- rank minimization
- high order
- decision trees
- high dimensional data
- semi supervised
- feature selection
- machine learning
- metamodel
- pairwise
- data sets
- training data
- real world
- supervised learning
- nearest neighbor
- black box
- database