Convergence of Recursive Stochastic Algorithms using Wasserstein Divergence.
Abhishek GuptaWilliam B. HaskellPublished in: CoRR (2020)
Keyphrases
- learning algorithm
- times faster
- computational cost
- stochastic approximation
- recently developed
- orders of magnitude
- iterative algorithms
- computationally efficient
- machine learning
- convergence rate
- significant improvement
- computational complexity
- image processing
- feature selection
- maximum flow
- theoretical justification
- convergence property