Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference.
Licong LinMufang YingSuvrojit GhoshKoulik KhamaruCun-Hui ZhangPublished in: NeurIPS (2023)
Keyphrases
- linear models
- low dimensional
- variable selection
- high dimensional
- linear model
- gaussian processes
- linear regression
- high dimensional data
- dimensionality reduction
- data points
- least squares
- nonlinear models
- dimension reduction
- regression model
- principal component analysis
- statistical models
- maximum likelihood
- bayesian inference
- feature space
- support vector
- image sequences
- computer vision