A Unifying Representer Theorem for Inverse Problems and Machine Learning.
Michael UnserPublished in: Found. Comput. Math. (2021)
Keyphrases
- inverse problems
- machine learning
- image reconstruction
- representer theorem
- global optimization
- convex optimization
- optimization problems
- optimization methods
- partial differential equations
- inductive learning
- kernel function
- machine learning algorithms
- smoothness constraint
- learning tasks
- learning problems
- multi task learning
- super resolution
- text classification
- early vision
- reinforcement learning
- high dimensional
- learning algorithm
- pattern recognition
- mutual information
- least squares
- active learning