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ASlib: A Benchmark Library for Algorithm Selection

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"

22 / 22 papers shown
Title
Frugal Algorithm Selection
Frugal Algorithm Selection
Erdem Kus
Ozgur Akgun
Nguyen Dang
Ian Miguel
23
0
0
17 May 2024
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection
Lukas Fehring
Jonas Hanselle
Alexander Tornede
15
5
0
31 Oct 2022
Automated Dynamic Algorithm Configuration
Automated Dynamic Algorithm Configuration
Steven Adriaensen
André Biedenkapp
Gresa Shala
Noor H. Awad
Theresa Eimer
Marius Lindauer
Frank Hutter
32
36
0
27 May 2022
On the evaluation of (meta-)solver approaches
On the evaluation of (meta-)solver approaches
R. Amadini
M. Gabbrielli
Tong Liu
J. Mauro
ELM
OffRL
15
1
0
17 Feb 2022
Exploring the Feature Space of TSP Instances Using Quality Diversity
Exploring the Feature Space of TSP Instances Using Quality Diversity
Jakob Bossek
Frank Neumann
26
10
0
04 Feb 2022
Predictive Machine Learning of Objective Boundaries for Solving COPs
Predictive Machine Learning of Objective Boundaries for Solving COPs
Helge Spieker
A. Gotlieb
13
0
0
04 Nov 2021
Machine Learning for Online Algorithm Selection under Censored Feedback
Machine Learning for Online Algorithm Selection under Censored Feedback
Alexander Tornede
Viktor Bengs
Eyke Hüllermeier
34
3
0
13 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and
  Open Challenges
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
85
448
0
13 Jul 2021
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance
  Regression and Algorithm Selection
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection
Anja Jankovic
Gorjan Popovski
T. Eftimov
Carola Doerr
15
23
0
19 Apr 2021
Learning to Resolve Conflicts for Multi-Agent Path Finding with
  Conflict-Based Search
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search
Taoan Huang
B. Dilkina
Sven Koenig
27
25
0
10 Dec 2020
Collaborative Management of Benchmark Instances and their Attributes
Collaborative Management of Benchmark Instances and their Attributes
M. Iser
Luca Springer
C. Sinz
11
1
0
07 Sep 2020
Landscape-Aware Fixed-Budget Performance Regression and Algorithm
  Selection for Modular CMA-ES Variants
Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants
Anja Jankovic
Carola Doerr
22
38
0
17 Jun 2020
Extreme Algorithm Selection With Dyadic Feature Representation
Extreme Algorithm Selection With Dyadic Feature Representation
Alexander Tornede
Marcel Wever
Eyke Hüllermeier
24
22
0
29 Jan 2020
Algorithm Selection for Image Quality Assessment
Algorithm Selection for Image Quality Assessment
Markus Wagner
Hanhe Lin
Shujun Li
Dietmar Saupe
13
3
0
19 Aug 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
14
9
0
31 Jan 2019
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
89
1,353
0
15 Nov 2018
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedML
OOD
34
756
0
08 Oct 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
20
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
27
149
0
24 Nov 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
R. King
14
73
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
VLM
ELM
41
151
0
11 Aug 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
18
65
0
02 Sep 2016
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