Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization.
Javier Carnerero-CanoLuis Muñoz-GonzálezPhillippa SpencerEmil C. LupuPublished in: CoRR (2023)
Keyphrases
- data analysis
- multi objective
- data sets
- learning algorithm
- prior knowledge
- data collection
- database
- learning process
- linear programming
- data mining techniques
- multiobjective optimization
- learning tasks
- background knowledge
- missing data
- optimization algorithm
- statistical analysis
- training data
- supervised learning
- evolutionary algorithm
- reinforcement learning
- prior information
- stochastic gradient descent