Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot.
Prateek JainChi JinSham M. KakadePraneeth NetrapalliPublished in: AISTATS (2017)
Keyphrases
- global convergence
- globally convergent
- global optimum
- convergence analysis
- optimization methods
- convergence speed
- convergence rate
- convex minimization
- objective function
- projected gradient
- cost function
- constrained optimization problems
- convex optimization
- line search
- coordinate ascent
- loss function
- semidefinite
- hybrid algorithm
- autocalibration
- particle swarm optimization
- newton method
- artificial neural networks
- search algorithm