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Self-concordant function

Known as: Self-concordant 
In optimization, a self-concordant function is a function for which A function is self-concordant if its restriction to any arbitrary line is self… Expand
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Papers overview

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2019
2019
We study the smooth structure of convex functions by generalizing a powerful concept so-called self-concordance introduced by… Expand
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Highly Cited
2015
Highly Cited
2015
  • Yuchen Zhang, X. Lin
  • ICML
  • 2015
  • Corpus ID: 2769327
We propose a new distributed algorithm for empirical risk minimization in machine learning. The algorithm is based on an inexact… Expand
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Highly Cited
2015
Highly Cited
2015
We propose a variable metric framework for minimizing the sum of a self-concordant function and a possibly non-smooth convex… Expand
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Highly Cited
2009
Highly Cited
2009
Most of the non-asymptotic theoretical work in regression is carried out for the square loss, where estimators can be obtained… Expand
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2009
2009
The notion of self-concordant function on Euclidean spaces was introduced and studied by Nesterov and Nemirovsky (6). They have… Expand
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2008
2008
We analyze the problem of finding a point strictly interior to a bounded, convex, and fully dimensional set from a finite… Expand
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Highly Cited
2003
Highly Cited
2003
We extend existing theories by linking transformational leadership to “self-concordance” at work. In two studies using diverse… Expand
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Highly Cited
2002
Highly Cited
2002
Abstract. We consider the Riemannian geometry defined on a convex set by the Hessian of a self-concordant barrier function, and… Expand
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Highly Cited
2000
Highly Cited
2000
In the first part of this thesis, we introduce a specific class of Linear Matrix Inequalities (LMI) whose optimal solution can be… Expand
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Highly Cited
1989
Highly Cited
1989
This invention relates to a push rod type motion-transmitting mechanism including a main push rod and a pair of auxiliary push… Expand
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