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A learning-based mathematical programming formulation for the automatic
  configuration of optimization solvers

A learning-based mathematical programming formulation for the automatic configuration of optimization solvers

8 January 2024
Gabriele Iommazzo
C. D’Ambrosio
A. Frangioni
Leo Liberti
ArXivPDFHTML

Papers citing "A learning-based mathematical programming formulation for the automatic configuration of optimization solvers"

4 / 4 papers shown
Title
Optimal Decision Trees for the Algorithm Selection Problem: Integer
  Programming Based Approaches
Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches
Matheus G. Vilas Boas
H. Santos
L. Merschmann
G. V. Berghe
33
18
0
03 Jul 2019
Pitfalls and Best Practices in Algorithm Configuration
Pitfalls and Best Practices in Algorithm Configuration
Katharina Eggensperger
Marius Lindauer
Frank Hutter
54
62
0
17 May 2017
ParamILS: An Automatic Algorithm Configuration Framework
ParamILS: An Automatic Algorithm Configuration Framework
Frank Hutter
Thomas Stuetzle
Kevin Leyton-Brown
T. Stützle
70
1,067
0
15 Jan 2014
Algorithm Selection as a Bandit Problem with Unbounded Losses
Algorithm Selection as a Bandit Problem with Unbounded Losses
M. Gagliolo
Jürgen Schmidhuber
82
39
0
09 Jul 2008
1