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Algorithm Runtime Prediction: Methods & Evaluation
5 November 2012
Frank Hutter
Lin Xu
Holger H. Hoos
Kevin Leyton-Brown
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Papers citing
"Algorithm Runtime Prediction: Methods & Evaluation"
35 / 85 papers shown
Title
Surrogate-assisted performance prediction for data-driven knowledge discovery algorithms: application to evolutionary modeling of clinical pathways
Anastasia A. Funkner
A. Yakovlev
Sergey Kovalchuk
9
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02 Apr 2020
Cost-aware Bayesian Optimization
E. Lee
Valerio Perrone
Cédric Archambeau
Matthias Seeger
157
58
0
22 Mar 2020
Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction
Ajitesh Srivastava
Naifeng Zhang
Rajgopal Kannan
Viktor Prasanna
27
2
0
17 Mar 2020
ENTMOOT: A Framework for Optimization over Ensemble Tree Models
Alexander Thebelt
Jan Kronqvist
Miten Mistry
Robert M. Lee
Nathan Sudermann-Merx
Ruth Misener
89
57
0
10 Mar 2020
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui
Antoine Cornuéjols
Thierry Denoeux
Sebastien Destercke
Didier Dubois
...
Jérôme Mengin
H. Prade
Steven Schockaert
M. Serrurier
Christel Vrain
128
14
0
13 Dec 2019
Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches
Matheus G. Vilas Boas
H. Santos
L. Merschmann
G. V. Berghe
67
18
0
03 Jul 2019
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration
Robert D. Kleinberg
Kevin Leyton-Brown
Brendan Lucier
Devon R. Graham
65
20
0
14 Feb 2019
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution
Ke Li
Zilin Xiang
Kay Chen Tan
65
28
0
30 Jan 2019
Automated Algorithm Selection: Survey and Perspectives
P. Kerschke
Holger H. Hoos
Frank Neumann
Heike Trautmann
77
384
0
28 Nov 2018
Meta-Learning: A Survey
Joaquin Vanschoren
FedML
OOD
108
761
0
08 Oct 2018
OBOE: Collaborative Filtering for AutoML Model Selection
Chengrun Yang
Yuji Akimoto
Dae Won Kim
Madeleine Udell
61
101
0
09 Aug 2018
Boosting Combinatorial Problem Modeling with Machine Learning
M. Lombardi
M. Milano
AI4CE
78
65
0
15 Jul 2018
Predicting Effective Control Parameters for Differential Evolution using Cluster Analysis of Objective Function Features
S. P. Walton
M. R. Brown
13
4
0
25 Jun 2018
Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning
Carl Witt
M. Bux
Wladislaw Gusew
Ulf Leser
33
54
0
30 May 2018
The Algorithm Selection Competitions 2015 and 2017
Marius Lindauer
Jan N. van Rijn
Lars Kotthoff
61
38
0
03 May 2018
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping
Shengcai Liu
K. Tang
Xin Yao
69
29
0
17 Apr 2018
Adaptive online scheduling of tasks with anytime property on heterogeneous resources
I. Módos
P. Šůcha
Roman Václavík
J. Smejkal
Z. Hanzálek
26
1
0
08 Feb 2018
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
Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco
P. Kerschke
85
102
0
17 Aug 2017
SUNNY-CP and the MiniZinc Challenge
R. Amadini
M. Gabbrielli
J. Mauro
15
5
0
26 Jun 2017
Experience-based Optimization: A Coevolutionary Approach
Shengcai Liu
K. Tang
Xin Yao
OffRL
36
4
0
29 Mar 2017
Driving CDCL Search
Carmine Dodaro
Philip Gasteiger
Nicola Leone
Benjamin Musitsch
Francesco Ricca
Konstantin Schekotihin
35
1
0
16 Nov 2016
A case study of algorithm selection for the traveling thief problem
Markus Wagner
Marius Lindauer
Mustafa Misir
Samadhi Nallaperuma
Frank Hutter
61
66
0
02 Sep 2016
Elastic Solver: Balancing Solution Time and Energy Consumption
B. Hurley
D. Mehta
Barry O'Sullivan
28
3
0
23 May 2016
On the mediation of program allocation in high-demand environments
Fabiano de S. Oliveira
V. Barbosa
10
0
0
27 Apr 2016
Reinforcement learning based local search for grouping problems: A case study on graph coloring
Yangming Zhou
Jin-Kao Hao
B. Duval
63
69
0
01 Apr 2016
Selecting Near-Optimal Learners via Incremental Data Allocation
Ashish Sabharwal
Horst Samulowitz
Gerald Tesauro
84
64
0
31 Dec 2015
A PAC Approach to Application-Specific Algorithm Selection
Rishi Gupta
Tim Roughgarden
91
118
0
23 Nov 2015
Feature-Based Diversity Optimization for Problem Instance Classification
Wanru Gao
Samadhi Nallaperuma
Frank Neumann
71
55
0
29 Oct 2015
A Topological Approach to Meta-heuristics: Analytical Results on the BFS vs. DFS Algorithm Selection Problem
Tom Everitt
Marcus Hutter
39
6
0
09 Sep 2015
Bayesian Additive Regression Trees using Bayesian Model Averaging
B. Hernández
A. Raftery
S. Pennington
Andrew C. Parnell
86
63
0
01 Jul 2015
Mondrian Forests for Large-Scale Regression when Uncertainty Matters
Balaji Lakshminarayanan
Daniel M. Roy
Yee Whye Teh
UQCV
116
56
0
11 Jun 2015
ASlib: A Benchmark Library for Algorithm Selection
B. Bischl
P. Kerschke
Lars Kotthoff
Marius Lindauer
Y. Malitsky
...
Holger Hoos
Frank Hutter
Kevin Leyton-Brown
Kevin Tierney
Joaquin Vanschoren
81
221
0
08 Jun 2015
The Configurable SAT Solver Challenge (CSSC)
Frank Hutter
Marius Lindauer
A. Balint
Sam Bayless
Holger Hoos
Kevin Leyton-Brown
LRM
84
80
0
05 May 2015
Bayesian Optimization With Censored Response Data
Frank Hutter
Holger Hoos
Kevin Leyton-Brown
92
36
0
07 Oct 2013
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