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Distributed Asynchronous Incremental Subgradient Methods

Data up to Jan 2025

Published2001
Citations158
References23

Total Citations Per Year

Abstract

References (23)

Parallel and Distributed Computation: Numerical Methods

1989 • 5,603 citations

Neuro-dynamic Programming

2012 • 3,839 citations

Adaptive Algorithms and Stochastic Approximations

1990 • 2,105 citations

Distributed asynchronous deterministic and stochastic gradient optimization algorithms

1986 • 2,000 citations

Stochastic Approximation Algorithms and Applications

1998 • 1,084 citations

Discrete Stochastic Processes

1997 • 708 citations

Incremental Subgradient Methods for Nondifferentiable Optimization

2001 • 609 citations

Gradient Convergence in Gradient methods with Errors

2000 • 441 citations

A New Class of Incremental Gradient Methods for Least Squares Problems

1997 • 328 citations

Surrogate Gradient Algorithm for Lagrangian Relaxation

1999 • 222 citations

Convergence Rate of Incremental Subgradient Algorithms

2001 • 205 citations

Asynchronous Stochastic Approximations

1998 • 176 citations

An Incremental Gradient(-Projection) Method with Momentum Term and Adaptive Stepsize Rule

1998 • 172 citations

The Ordered Subsets Mirror Descent Optimization Method with Applications to Tomography

2001 • 158 citations

On the Convergence of the LMS Algorithm with Adaptive Learning Rate for Linear Feedforward Networks

1991 • 140 citations

Serial and parallel backpropagation convergence via nonmonotone perturbed minimization

1994 • 100 citations

Error Stability Properties of Generalized Gradient-Type Algorithms

1998 • 90 citations

Efficient Lagrangian relaxation algorithms for industry size job-shop scheduling problems

1998 • 86 citations

Analysis of an approximate gradient projection method with applications to the backpropagation algorithm

1994 • 84 citations

Convergence properties of backpropagation for neural nets via theory of stochastic gradient methods. Part 1

1994 • 77 citations

A class of unconstrained minimization methods for neural network training

1994 • 53 citations

Gradient convergence in gradient methods

1997 • 43 citations

Parallel Subgradient Methods for Convex Optimization

2001 • 15 citations

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Distributed Asynchronous Incremental Subgradient Methods (2001) – Studies in computational mathematics | Metascience Observatory Explorer