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ASlib: A Benchmark Library for Algorithm Selection
v1v2v3 (latest)

ASlib: A Benchmark Library for Algorithm Selection

8 June 2015
B. Bischl
P. Kerschke
Lars Kotthoff
Marius Lindauer
Y. Malitsky
A. Fréchette
Holger Hoos
Frank Hutter
Kevin Leyton-Brown
Kevin Tierney
Joaquin Vanschoren
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Papers citing "ASlib: A Benchmark Library for Algorithm Selection"

17 / 67 papers shown
Title
An Open Source AutoML Benchmark
An Open Source AutoML Benchmark
Pieter Gijsbers
E. LeDell
Janek Thomas
Sébastien Poirier
B. Bischl
Joaquin Vanschoren
VLM
92
242
0
01 Jul 2019
Data-driven Algorithm Selection and Parameter Tuning: Two Case studies
  in Optimization and Signal Processing
Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing
J. D. Loera
Jamie Haddock
A. Ma
Deanna Needell
29
0
0
31 May 2019
On the statistical evaluation of algorithmic's computational
  experimentation with infeasible solutions
On the statistical evaluation of algorithmic's computational experimentation with infeasible solutions
I. Carvalho
16
9
0
31 Jan 2019
Learning Context-Dependent Choice Functions
Learning Context-Dependent Choice Functions
Karlson Pfannschmidt
Pritha Gupta
Björn Haddenhorst
Eyke Hüllermeier
58
7
0
29 Jan 2019
Automated Algorithm Selection: Survey and Perspectives
Automated Algorithm Selection: Survey and Perspectives
P. Kerschke
Holger H. Hoos
Frank Neumann
Heike Trautmann
77
384
0
28 Nov 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
157
1,407
0
15 Nov 2018
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedMLOOD
111
761
0
08 Oct 2018
Boosting Binary Optimization via Binary Classification: A Case Study of
  Job Shop Scheduling
Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling
O. Shylo
Hesam Shams
16
9
0
31 Aug 2018
The Algorithm Selection Competitions 2015 and 2017
The Algorithm Selection Competitions 2015 and 2017
Marius Lindauer
Jan N. van Rijn
Lars Kotthoff
73
38
0
03 May 2018
Predicting Good Configurations for GitHub and Stack Overflow Topic
  Models
Predicting Good Configurations for GitHub and Stack Overflow Topic Models
Christoph Treude
Markus Wagner
65
41
0
13 Apr 2018
Automated Algorithm Selection on Continuous Black-Box Problems By
  Combining Exploratory Landscape Analysis and Machine Learning
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning
P. Kerschke
Heike Trautmann
102
152
0
24 Nov 2017
Deep Learning Assisted Heuristic Tree Search for the Container
  Pre-marshalling Problem
Deep Learning Assisted Heuristic Tree Search for the Container Pre-marshalling Problem
André Hottung
Shunji Tanaka
Kevin Tierney
66
99
0
28 Sep 2017
Meta-QSAR: a large-scale application of meta-learning to drug design and
  discovery
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery
I. Olier
Noureddin M. Sadawi
G. R. Bickerton
Joaquin Vanschoren
C. Grosan
Larisa B. Soldatova
Ross King
69
77
0
12 Sep 2017
OpenML Benchmarking Suites
OpenML Benchmarking Suites
B. Bischl
Giuseppe Casalicchio
Matthias Feurer
Pieter Gijsbers
Frank Hutter
Michel Lang
R. G. Mantovani
Jan N. van Rijn
Joaquin Vanschoren
VLMELM
132
165
0
11 Aug 2017
Efficient Benchmarking of Algorithm Configuration Procedures via
  Model-Based Surrogates
Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates
Katharina Eggensperger
Marius Lindauer
Holger H. Hoos
Frank Hutter
Kevin Leyton-Brown
48
7
0
30 Mar 2017
A case study of algorithm selection for the traveling thief problem
A case study of algorithm selection for the traveling thief problem
Markus Wagner
Marius Lindauer
Mustafa Misir
Samadhi Nallaperuma
Frank Hutter
68
66
0
02 Sep 2016
ICON Challenge on Algorithm Selection
ICON Challenge on Algorithm Selection
Lars Kotthoff
44
20
0
12 Nov 2015
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