Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms.
Pedro Zattoni ScroccaroBilge AtasoyPeyman Mohajerin EsfahaniPublished in: CoRR (2023)
Keyphrases
- learning algorithm
- learning process
- optimization problems
- knowledge acquisition
- neural network
- machine learning algorithms
- online learning
- computational cost
- significant improvement
- learning systems
- learning problems
- supervised learning
- data structure
- learning models
- discrete optimization
- genetic algorithm
- noise tolerant
- worst case
- optimization methods
- theoretical analysis
- training data
- decision trees
- e learning
- machine learning