Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis.
Jungbin KimInsoon YangPublished in: ICML (2022)
Keyphrases
- convergence analysis
- convex optimization
- convex optimization problems
- global convergence
- optimization methods
- learning algorithm
- optimality conditions
- feature selection
- optimization problems
- primal dual
- alternating direction method of multipliers
- genetic algorithm
- supervised learning
- machine learning algorithms
- gradient method
- newton method