The empirical duality gap of constrained statistical learning.
Luiz F. O. ChamonSantiago PaternainMiguel Calvo-FullanaAlejandro RibeiroPublished in: CoRR (2020)
Keyphrases
- statistical learning
- duality gap
- statistical learning theory
- model selection
- information theory
- supervised learning
- augmented lagrangian
- primal dual
- convex programming
- information theoretic
- set covering problem
- machine learning
- semi supervised learning
- data mining
- lagrange multipliers
- learning problems
- text mining
- optimal solution
- information retrieval
- inequality constraints
- linear programming
- support vector
- computer vision