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Regularized nonlinear acceleration (RNA) estimates the minimum of a function by post-processing iterates from an algorithm such as the gradient method.
Chebyshev semi-iterative methods, successive overrelaxation iterative methods, and second order Richardson iterative methods
Gene H. Golub and Richard S. Varga · 1961
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Iterative procedures for nonlinear integral equations
Donald G. Anderson · 1965
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A polynomial extrapolation method for finding limits and antilimits of vector sequences
Stan Cabay and LW Jackson · 1976
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A method of solving a convex programming problem with convergence rate O ( 1 / k 2 ) {O}(1/k^{2})
Yurii Nesterov · 1983
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Analysis of hidden units in a layered network trained to classify sonar targets
R. Paul Gorman and Terrence J. Sejnowski · 1988
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Cubic regularization of Newton method and its global performance
Yurii Nesterov and Boris T Polyak · 2006
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Nonlinear Equations
Jorge Nocedal and Stephen J. Wright · 2006
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Sido: A phamacology dataset
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Feature extraction: foundations and applications , volume 207
Isabelle Guyon, Steve Gunn, Masoud Nikravesh, and Lofti A Zadeh · 2008
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Matrix Computations , volume 3
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Introductory lectures on convex optimization: A basic course , volume 87
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Nonlinear acceleration of stochastic algorithms
SAGA: A fast incremental gradient method with support for non-strongly convex composite objectives
Aaron Defazio, Francis Bach, and Simon Lacoste-Julien · 2014
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A stochastic quasi-newton method for large-scale optimization
Richard H. Byrd, Samantha L. Hansen, Jorge Nocedal, and Yoram Singer · 2016
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Restarting accelerated gradient methods with a rough strong convexity estimate
Olivier Fercoq and Zheng Qu · 2016
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Regularized nonlinear acceleration
Damien Scieur, Alexandre d’Aspremont, and Francis Bach · 2016
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Katyusha: The first direct acceleration of stochastic gradient methods
Zeyuan Allen-Zhu · 2017
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Nonlinear acceleration of primal-dual algorithms
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Damien Scieur, Francis Bach, and Alexandre d’Aspremont
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Integration methods and optimization algorithms
Damien Scieur, Vincent Roulet, Francis Bach, and Alexandre d’Aspremont
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Raghu Bollapragada, Damien Scieur, and Alexandre d’Aspremont · 2019
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