Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions.
Shaogao LvHeng LianPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- high dimensions
- linear models
- distributed learning
- high dimensional
- variable selection
- gaussian graphical models
- additive models
- high dimensional data
- linear model
- high dimensional spaces
- collaborative learning
- gaussian processes
- low dimensional
- linear regression
- poor quality
- feature space
- dimensionality reduction
- data sets
- causal relationships
- data mining
- knowledge integration
- dimension reduction
- sparse representation
- nearest neighbor
- neural network
- high quality
- image processing
- computer vision