On greedy randomized coordinate descent methods for solving large linear least-squares problems
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[1] Axel Ruhe. Numerical aspects of gram-schmidt orthogonalization of vectors , 1983 .
[2] Yurii Nesterov,et al. Random Block Coordinate Descent Methods for Linearly Constrained Optimization over Networks , 2015, J. Optim. Theory Appl..
[3] Zhong-Zhi Bai,et al. On Greedy Randomized Kaczmarz Method for Solving Large Sparse Linear Systems , 2018, SIAM J. Sci. Comput..
[4] Ambuj Tewari,et al. Stochastic methods for l1 regularized loss minimization , 2009, ICML '09.
[5] Adrian A Canutescu,et al. Cyclic coordinate descent: A robotics algorithm for protein loop closure , 2003, Protein science : a publication of the Protein Society.
[6] Adrian S. Lewis,et al. Randomized Methods for Linear Constraints: Convergence Rates and Conditioning , 2008, Math. Oper. Res..
[7] Paul Tseng,et al. Error Bound and Convergence Analysis of Matrix Splitting Algorithms for the Affine Variational Inequality Problem , 1992, SIAM J. Optim..
[8] P. Tseng,et al. On the linear convergence of descent methods for convex essentially smooth minimization , 1992 .
[9] Yurii Nesterov,et al. Efficiency of the Accelerated Coordinate Descent Method on Structured Optimization Problems , 2017, SIAM J. Optim..
[10] Paul Tseng,et al. Error Bound and Reduced-Gradient Projection Algorithms for Convex Minimization over a Polyhedral Set , 1993, SIAM J. Optim..
[11] Lin Xiao,et al. On the complexity analysis of randomized block-coordinate descent methods , 2013, Mathematical Programming.
[12] Chih-Jen Lin,et al. Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines , 2008, J. Mach. Learn. Res..
[13] Clifford Hildreth,et al. A quadratic programming procedure , 1957 .
[14] R. Vershynin,et al. A Randomized Kaczmarz Algorithm with Exponential Convergence , 2007, math/0702226.
[15] Stephen J. Wright. Coordinate descent algorithms , 2015, Mathematical Programming.
[16] Y. Censor,et al. Optimization of “log x entropy over linear equality constraints , 1987 .
[17] Jian Huang,et al. COORDINATE DESCENT ALGORITHMS FOR NONCONVEX PENALIZED REGRESSION, WITH APPLICATIONS TO BIOLOGICAL FEATURE SELECTION. , 2011, The annals of applied statistics.
[18] Timothy A. Davis,et al. The university of Florida sparse matrix collection , 2011, TOMS.
[19] Deanna Needell,et al. Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods , 2015, SIAM J. Matrix Anal. Appl..
[20] P. Tseng. On linear convergence of iterative methods for the variational inequality problem , 1995 .
[21] P. Tseng,et al. On the convergence of the coordinate descent method for convex differentiable minimization , 1992 .
[22] Yurii Nesterov,et al. Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems , 2012, SIAM J. Optim..
[23] Ken D. Sauer,et al. A unified approach to statistical tomography using coordinate descent optimization , 1996, IEEE Trans. Image Process..
[24] Paul Tseng,et al. On the Convergence Rate of Dual Ascent Methods for Linearly Constrained Convex Minimization , 1993, Math. Oper. Res..
[25] Z.-Q. Luo,et al. Error bounds and convergence analysis of feasible descent methods: a general approach , 1993, Ann. Oper. Res..
[26] Charles A. Bouman,et al. Optical diffusion tomography by iterative- coordinate-descent optimization in a Bayesian framework , 1999 .
[27] Peter Richtárik,et al. Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function , 2011, Mathematical Programming.