On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems.
Mingxi ZhuKresimir MihicYinyu YePublished in: CoRR (2019)
Keyphrases
- learning problems
- convex optimization problems
- learning tasks
- supervised learning
- kernel methods
- machine learning algorithms
- machine learning
- learning algorithm
- pac learning
- learning machines
- multi task learning
- semi supervised learning
- sample complexity
- kernel based learning
- computational learning theory
- multi task
- reinforcement learning
- total variation
- convex optimization
- transfer learning
- labeled data
- data points
- object recognition
- decision trees
- data mining
- structured sparsity
- data sets