Learning Convex Optimization Models.
Akshay AgrawalShane T. BarrattStephen P. BoydPublished in: CoRR (2020)
Keyphrases
- convex optimization
- structured prediction
- learning models
- learning algorithm
- learning problems
- active learning
- image processing
- probabilistic model
- learning tasks
- supervised learning
- total variation
- image classification
- approximate inference
- image denoising
- machine learning algorithms
- higher order
- reinforcement learning
- feature selection
- computer vision