Non-convex Optimization for Machine Learning.
Prateek JainPurushottam KarPublished in: Found. Trends Mach. Learn. (2017)
Keyphrases
- convex optimization
- machine learning
- interior point methods
- total variation
- low rank
- primal dual
- convex optimization problems
- text classification
- convex relaxation
- decision trees
- learning tasks
- learning algorithm
- convex formulation
- convex constraints
- norm minimization
- denoising
- computer vision
- missing data
- machine learning algorithms
- support vector machine
- semi definite programming
- active learning
- augmented lagrangian method
- operator splitting