superlinear convergence
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- North America > United States > Texas (0.28)
- North America > Canada (0.28)
Stochastic Newton Proximal Extragradient Method
Neural Information Processing Systems
However, these methods typically reach superlinear convergence only when the stochastic Hessian noise diminishes, increasing per-iteration costs over time.
- Asia > China > Shanghai > Shanghai (0.04)
- Asia > China > Hong Kong (0.04)
- North America > United States (0.04)
- Asia > Middle East > Republic of Türkiye (0.04)
- North America > United States > Texas > Travis County > Austin (0.14)
- North America > Canada > Quebec > Montreal (0.04)
- Asia > Middle East > Jordan (0.04)
- North America > Puerto Rico > San Juan > San Juan (0.04)
Quasi-NewtonMethodsforSaddlePointProblems
Neural Information Processing Systems
These algorithms iterate with first-order oracle and achieve linear convergence.
- North America > United States (0.04)
- Asia > Middle East > Jordan (0.04)
- North America > United States (0.04)
- Europe > Russia (0.04)
- Asia > Russia (0.04)
- (3 more...)
Stochastic Newton Proximal Extragradient Method
Neural Information Processing Systems
However, these methods typically reach superlinear convergence only when the stochastic Hessian noise diminishes, increasing per-iteration costs over time.
- Asia > China > Shanghai > Shanghai (0.04)
- Asia > China > Hong Kong (0.04)
- North America > United States (0.04)
- Asia > Middle East > Republic of Türkiye (0.04)