Global Convergence of Block Coordinate Descent in Deep Learning.
Jinshan ZengTim Tsz-Kit LauShaobo LinYuan YaoPublished in: ICML (2019)
Keyphrases
- deep learning
- global convergence
- convergence speed
- global optimum
- convergence rate
- optimization methods
- convergence analysis
- unsupervised feature learning
- convex optimization
- unsupervised learning
- convex minimization
- interior point methods
- machine learning
- mental models
- hybrid algorithm
- step size
- weakly supervised
- simulated annealing
- evolutionary algorithm
- optimization method
- artificial neural networks
- search algorithm
- genetic algorithm
- data mining