High-Dimensional Cost-constrained Regression Via Nonconvex Optimization.
Guan YuHaoda FuYufeng LiuPublished in: Technometrics (2022)
Keyphrases
- high dimensional
- optimization problems
- global optimization
- lagrange multipliers
- concave convex procedure
- constrained optimization
- nonlinear programming
- objective function
- optimization algorithm
- total cost
- evolutionary algorithm
- regression model
- dimensionality reduction
- high dimensionality
- support vector
- data points
- optimization method
- regression analysis
- convex optimization
- metric space
- similarity search
- low dimensional
- regression method
- generalized linear models
- feature extraction
- gene expression data
- cost function
- combinatorial optimization
- high dimensional data
- nearest neighbor
- model selection
- linear programming