Parametric Dual Maximization for Non-Convex Learning Problems.
Yuxun ZhouZhaoyi KangCostas J. SpanosPublished in: AAAI (2017)
Keyphrases
- learning problems
- convex optimization problems
- learning tasks
- supervised learning
- kernel methods
- machine learning algorithms
- semi supervised learning
- machine learning
- learning algorithm
- convex optimization
- primal dual
- sample complexity
- pac learning
- objective function
- computational learning theory
- multi task learning
- reinforcement learning
- structured sparsity
- statistical learning theory
- multi task
- kernel based learning
- multiple kernel learning
- convex sets
- image classification
- decision trees
- reproducing kernel hilbert space
- training set
- convex programming
- data mining
- pairwise
- learning process