A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization.
Dimitris BertsimasCheol Woo KimPublished in: INFORMS J. Comput. (2023)
Keyphrases
- convex optimization
- mixed integer
- machine learning
- quadratic program
- interior point methods
- linear program
- linear programming problems
- primal dual
- lot sizing
- feasible solution
- convex hull
- machine learning algorithms
- continuous variables
- total variation
- convex optimization problems
- learning problems
- optimal solution
- text classification
- feature selection
- semi supervised learning
- model selection
- linear programming
- active learning
- supervised learning
- support vector machine
- feature extraction
- image segmentation
- decision trees
- image processing
- computer vision