Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization.
Wei TaoWei LiZhisong PanQing TaoPublished in: AAAI (2021)
Keyphrases
- convex optimization
- primal dual
- interior point methods
- linear programming problems
- convex optimization problems
- low rank
- semidefinite programming
- algorithm for linear programming
- interior point
- convex programming
- convex relaxation
- operator splitting
- linear programming
- total variation
- cost function
- convex constraints
- dual formulation
- augmented lagrangian
- approximation algorithms
- convergence rate
- linear program
- convex functions
- semi definite programming
- learning algorithm
- reinforcement learning
- objective function
- upper bound
- higher order
- simplex method
- loss function