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Cyclic coordinate descent is a classic optimization method that has witnessed a resurgence of interest in machine learning.
On M-functions and their application to nonlinear Gauss–Seidel iterations and to network flows
Rheinboldt, W. C. (1970) · 1970
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A method for unconstrained convex minimization problem with the rate of convergence O O ( 1 / k 2 ) (1/k^{2})
Nesterov, Y. (1983) · 1983
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Parallel and distributed computation: numerical methods
Bertsekas, D. P., & Tsitsiklis, J. N. (1989) · 1989
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Convergence of a block coordinate descent method for nondifferentiable minimization
Tseng, P. (2001) · 2001
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Introductory Lectures On Convex Optimization: A Basic Course
Nesterov, Y. (2003) · 2003
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Just relax: convex programming methods for identifying sparse signals in noise
Tropp, J. A. (2006) · 2006
Cited alongside, same era.
Pathwise coordinate optimization
Friedman, J., Hastie, T., Höfling, H., & Tibshirani, R. (2007) · 2007
Cited alongside, same era.
Large-scale bayesian logistic regression for text categorization
Genkin, A., Lewis, D. D., & Madigan, D. (2007) · 2007
Cited alongside, same era.
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
Clarkson, K. L. (2008) · 2008
Cited alongside, same era.
A block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization
Tseng, P., & Yun, S. (2009a)
Cited in the paper.
A coordinate gradient descent method for nonsmooth separable minimization
Tseng, P., & Yun, S. (2009b)
Cited in the paper.
Coordinate descent algorithms for lasso penalized regression
Wu, T. T., & Lange, K. (2008) · 2008
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A fast iterative shrinkage-thresholding algorithm with application to wavelet-based image deblurring
Beck, A., & Teboulle, M. (2009) · 2009
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Efficient learning using forward-backward splitting
Duchi, J., & Singer, Y. (2009) · 2009
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Stochastic methods for l 1 l_{1} regularized loss minimization
Shalev-Shwartz, S., & Tewari, A. (2009) · 2009
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