Efficient numerical algorithms for regularized regression problem with applications to traffic matrix estimations
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G. Aleksandr | M. Yury | S. Vladimir | Anikin Anton | Dvurechensky Pavel | Golov Andrey | G. Alexander | Mendel Mikhail
[1] O. Nelles,et al. An Introduction to Optimization , 1996, IEEE Antennas and Propagation Magazine.
[2] Arkadi Nemirovski,et al. Lectures on modern convex optimization - analysis, algorithms, and engineering applications , 2001, MPS-SIAM series on optimization.
[3] Yurii Nesterov,et al. Smooth minimization of non-smooth functions , 2005, Math. Program..
[4] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[5] Y. Nesterov,et al. Primal-dual subgradient methods for minimizing uniformly convex functions , 2010, 1401.1792.
[6] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[7] Vladimir Spokoiny,et al. Penalized maximum likelihood estimation and effective dimension , 2012, 1205.0498.
[8] Yurii Nesterov,et al. Gradient methods for minimizing composite functions , 2012, Mathematical Programming.
[9] Alexander Gasnikov,et al. Entropy linear programming , 2014 .
[10] Peter Richtárik,et al. Randomized Dual Coordinate Ascent with Arbitrary Sampling , 2014, ArXiv.
[11] A. Juditsky,et al. Deterministic and Stochastic Primal-Dual Subgradient Algorithms for Uniformly Convex Minimization , 2014 .
[12] Alexander Gasnikov,et al. Stochastic gradient methods with inexact oracle , 2014 .
[13] Peter Richtárik,et al. Accelerated, Parallel, and Proximal Coordinate Descent , 2013, SIAM J. Optim..
[14] Yurii Nesterov,et al. Universal gradient methods for convex optimization problems , 2015, Math. Program..
[15] Ilnura N. Usmanova,et al. About accelerated randomized methods , 2015, 1508.02182.
[16] Peter Richtárik,et al. Coordinate descent with arbitrary sampling I: algorithms and complexity† , 2014, Optim. Methods Softw..
[17] Tong Zhang,et al. Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization , 2013, Mathematical Programming.
[18] Zeyuan Allen Zhu,et al. Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent , 2014, ITCS.