Pages that link to "Item:Q1637355"
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The following pages link to Local convergence of the heavy-ball method and iPiano for non-convex optimization (Q1637355):
Displaying 16 items.
- Inertial proximal incremental aggregated gradient method with linear convergence guarantees (Q2084299) (← links)
- Convergence rates for the heavy-ball continuous dynamics for non-convex optimization, under Polyak-Łojasiewicz condition (Q2089864) (← links)
- Convergence rates for an inertial algorithm of gradient type associated to a smooth non-convex minimization (Q2235149) (← links)
- Convergence of non-smooth descent methods using the Kurdyka-Łojasiewicz inequality (Q2251554) (← links)
- Bregman proximal mappings and Bregman-Moreau envelopes under relative prox-regularity (Q2302825) (← links)
- An abstract convergence framework with application to inertial inexact forward-backward methods (Q2696904) (← links)
- Non-monotone Behavior of the Heavy Ball Method (Q3296870) (← links)
- Unifying Abstract Inexact Convergence Theorems and Block Coordinate Variable Metric iPiano (Q4624932) (← links)
- Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Nonconvex Optimization (Q5037570) (← links)
- Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems (Q5863523) (← links)
- Convergence of the Momentum Method for Semialgebraic Functions with Locally Lipschitz Gradients (Q6071885) (← links)
- Convergence Analysis of the Proximal Gradient Method in the Presence of the Kurdyka–Łojasiewicz Property Without Global Lipschitz Assumptions (Q6071886) (← links)
- A Regularized Newton Method for \({\boldsymbol{\ell}}_{q}\) -Norm Composite Optimization Problems (Q6116248) (← links)
- Inertial Newton algorithms avoiding strict saddle points (Q6145046) (← links)
- A forward-backward algorithm with different inertial terms for structured non-convex minimization problems (Q6163956) (← links)
- Learning weakly convex regularizers for convergent image-reconstruction algorithms (Q6541905) (← links)
