Statistical Learning and Inverse Problems: A Stochastic Gradient Approach.
Yuri R. FonsecaYuri F. SaporitoPublished in: NeurIPS (2022)
Keyphrases
- statistical learning
- stochastic gradient
- inverse problems
- image reconstruction
- global optimization
- convex optimization
- information theory
- optimization problems
- model selection
- optimization methods
- partial differential equations
- early vision
- supervised learning
- stochastic gradient descent
- text mining
- information theoretic
- active learning
- machine learning
- motion estimation