Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning.
Aymeric DieuleveutGersende FortEric MoulinesHoi-To WaiPublished in: IEEE Trans. Signal Process. (2023)
Keyphrases
- stochastic approximation
- signal processing
- machine learning
- monte carlo
- pattern recognition
- reinforcement learning
- computer vision
- image processing
- learning algorithm
- policy iteration
- machine learning algorithms
- decision trees
- transfer learning
- fixed point
- learning tasks
- lower bound
- support vector machine
- cost function
- active learning
- markov decision processes
- function approximation
- theoretical guarantees
- temporal difference learning