Subspace Embedding and Linear Regression with Orlicz Norm.
Alexandr AndoniChengyu LinYing ShengPeilin ZhongRuiqi ZhongPublished in: ICML (2018)
Keyphrases
- three dimensional
- linear regression
- hilbert space
- least squares
- locality preserving projections
- regression problems
- regression methods
- ridge regression
- locally weighted
- feature space
- linear regression model
- high dimensional data
- nonlinear regression
- principal component analysis
- linear models
- subspace learning
- high dimensional
- low dimensional
- kernel regression
- dimensionality reduction
- multivariate regression
- sparse regression
- computer vision
- objective function
- decision trees
- optical flow
- face recognition