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Random coordinate descent

Randomized (Block) Coordinate Descent Method is an optimization algorithm popularized by Nesterov (2010) and Richtárik and Takáč (2011). The first… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
One key feature of massive multiple-input multiple-output systems is the large number of antennas and users. As a result… 
2018
2018
Learning in the presence of label noise is a promising research issue, which can well accommodate to the reality of weakly… 
2018
2018
In this letter we propose an algorithm for solving constrained polynomial minimization problems. The algorithm is a variation on… 
2016
2016
STRONG is a response surface methodology based algorithm that iteratively constructs linear or quadratic fitness model to guide… 
2015
2015
In this paper we propose a parallel and distributed random (block) coordinate descent method for minimizing the sum of a… 
2015
2015
In this paper we develop random block coordinate gradient descent methods for minimizing large scale linearly constrained… 
2015
2015
In this paper we develop parallel random coordinate gradient descent methods for minimizing huge linearly constrained separable… 
2013
2013
In this paper we develop a random coordinate descent method suitable for solving large-scale sparse nonconvex optimization… 
2012
2012
In this paper we develop a randomized (block) coordinate descent method for solving singly linear equality constrained… 
2011
2011
This paper introduces a new accelerated random coordinate descent algorithm for solving problems in the field of compressive…