Surprises in High-Dimensional Ridgeless Least Squares Interpolation.
Trevor HastieAndrea MontanariSaharon RossetRyan J. TibshiraniPublished in: CoRR (2019)
Keyphrases
- least squares
- high dimensional
- low dimensional
- similarity search
- piecewise polynomial
- high dimensional data
- robust estimation
- linear regression
- image interpolation
- high dimensionality
- dimensionality reduction
- multi dimensional
- multi modal
- sparse data
- feature space
- nearest neighbor
- metric space
- optical flow
- data sets
- sparse linear
- curve fitting
- parameter estimation
- high dimensional problems
- sparse coding
- data points
- variable selection
- high dimensional datasets
- interpolation algorithm
- high dimension
- linear interpolation
- microarray data
- high dimensional spaces
- levenberg marquardt
- ls svm
- manifold learning
- parameter space
- kernel function
- principal component analysis
- image sequences
- learning algorithm
- neural network