High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression.
Zichang HeZheng ZhangPublished in: CoRR (2021)
Keyphrases
- high dimensional
- dimensionality reduction
- regression model
- multi variate
- high dimensional data
- linear regression
- data points
- higher order
- regression problems
- low dimensional
- high order
- uncertain data
- model selection
- multi dimensional
- data sets
- robust optimization
- generalized linear models
- support vector regression
- parameter space
- sample size
- feature space
- search engine