Near-optimal max-affine estimators for convex regression.
Gábor BalázsAndrás GyörgyCsaba SzepesváriPublished in: AISTATS (2015)
Keyphrases
- piecewise affine
- regression model
- asymptotic properties
- affine transformation
- regression function
- linear regression
- convex optimization
- rates of convergence
- regression problems
- affine invariant
- polynomial regression
- locally weighted
- image registration
- estimation problems
- regression methods
- regression algorithm
- support vector regression
- convex hull
- conditional density estimation
- analytical expressions
- machine learning
- simple linear
- globally optimal
- piecewise linear
- regression analysis
- semi parametric
- convex relaxation
- convex sets
- empirical risk
- gaussian processes
- model selection
- least squares
- variance estimator
- support vector
- data sets