Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems.
Hengmin ZhangFeng QianFanhua ShangWenli DuJianjun QianJian YangPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- learning problems
- global convergence
- globally convergent
- structured sparsity
- optimization methods
- global optimum
- convergence rate
- learning tasks
- convergence speed
- convergence analysis
- supervised learning
- learning algorithm
- machine learning algorithms
- constrained optimization problems
- kernel methods
- semi supervised learning
- machine learning
- optimization problems
- objective function
- multi task
- differential evolution
- high dimensional
- convex optimization
- compressive sensing
- particle swarm
- global optimization
- step size
- hybrid algorithm
- support vector machine
- multiple kernel learning
- reinforcement learning
- fitness function
- training data
- evolutionary algorithm
- optimal solution