Optimization Methods for Large-Scale Machine Learning.
Léon BottouFrank E. CurtisJorge NocedalPublished in: CoRR (2016)
Keyphrases
- optimization methods
- machine learning
- optimization approaches
- optimization method
- simulated annealing
- optimization problems
- global convergence
- efficient optimization
- stochastic methods
- continuous optimization
- unconstrained optimization
- decision trees
- direct optimization
- quasi newton
- machine learning methods
- trust region
- feature selection
- text classification
- natural language processing
- information extraction
- convex relaxation
- machine learning algorithms
- inverse problems
- supervised learning
- support vector machine
- learning algorithm