Monitoring machine learning-based risk prediction algorithms in the presence of performativity.
Jean FengAlexej GossmannGene PennelloNicholas PetrickBerkman SahinerRomain PirracchioPublished in: AISTATS (2024)
Keyphrases
- machine learning
- learning algorithm
- prediction algorithm
- real time
- worst case
- optimization problems
- monitoring system
- significant improvement
- machine learning approaches
- pattern recognition
- computational cost
- decision trees
- theoretical analysis
- machine learning algorithms
- prediction accuracy
- prediction model
- statistical methods
- times faster
- benchmark datasets
- neural network
- prediction error
- learning models
- risk management
- combinatorial optimization
- computational efficiency
- artificial intelligence
- natural language
- computer vision
- computational intelligence
- data analysis
- computational complexity