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Algorithm Runtime Prediction: Methods & Evaluation
v1v2 (latest)

Algorithm Runtime Prediction: Methods & Evaluation

5 November 2012
Frank Hutter
Lin Xu
Holger H. Hoos
Kevin Leyton-Brown
ArXiv (abs)PDFHTML

Papers citing "Algorithm Runtime Prediction: Methods & Evaluation"

50 / 85 papers shown
Title
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
Tonghan Wang
Yanchen Jiang
David C. Parkes
134
1
0
24 Feb 2025
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive
  Algorithm Representation
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
Xingyu Wu
Yan Zhong
Jibin Wu
Bingbing Jiang
Kay Chen Tan
91
6
0
22 Nov 2023
Taking the human out of decomposition-based optimization via artificial
  intelligence: Part II. Learning to initialize
Taking the human out of decomposition-based optimization via artificial intelligence: Part II. Learning to initialize
Ilias Mitrai
P. Daoutidis
AI4CE
59
5
0
10 Oct 2023
Taking the human out of decomposition-based optimization via artificial
  intelligence: Part I. Learning when to decompose
Taking the human out of decomposition-based optimization via artificial intelligence: Part I. Learning when to decompose
Ilias Mitrai
P. Daoutidis
58
4
0
10 Oct 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data
  Availability
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
Zijie Geng
Xijun Li
Jie Wang
Xiao Li
Yongdong Zhang
Feng Wu
120
23
0
04 Oct 2023
Which algorithm to select in sports timetabling?
Which algorithm to select in sports timetabling?
D. Bulck
Dries R. Goossens
Jan-Patrick Clarner
Angelos Dimitsas
George H. G. Fonseca
Carlos Lamas-Fernandez
Martin Mariusz Lester
Jaap Pedersen
Antony E. Phillips
R. Rosati
29
5
0
04 Sep 2023
Is One Epoch All You Need For Multi-Fidelity Hyperparameter
  Optimization?
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?
Romain Egele
Isabelle M Guyon
Yixuan Sun
Prasanna Balaprakash
94
2
0
28 Jul 2023
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML
  with OpenML
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML
Lennart Purucker
Joeran Beel
MoE
65
8
0
01 Jul 2023
PriorBand: Practical Hyperparameter Optimization in the Age of Deep
  Learning
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
Neeratyoy Mallik
Eddie Bergman
Carl Hvarfner
Daniel Stoll
Maciej Janowski
Marius Lindauer
Luigi Nardi
Frank Hutter
110
27
0
21 Jun 2023
Lightweight Online Learning for Sets of Related Problems in Automated
  Reasoning
Lightweight Online Learning for Sets of Related Problems in Automated Reasoning
Haoze Wu
Christopher Hahn
Florian Lonsing
Makai Mann
R. Ramanujan
Clark W. Barrett
OffRLLRM
94
1
0
18 May 2023
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances
Fei Liu
Chengyu Lu
Lin Gui
Qingfu Zhang
Xialiang Tong
Mingxuan Yuan
59
19
0
01 Mar 2023
Revisit the Algorithm Selection Problem for TSP with Spatial Information
  Enhanced Graph Neural Networks
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks
Yaobo Song
Laurens Bliek
Yingqian Zhang
85
1
0
08 Feb 2023
Learning To Dive In Branch And Bound
Learning To Dive In Branch And Bound
Max B. Paulus
Andreas Krause
63
5
0
24 Jan 2023
Inverting Cryptographic Hash Functions via Cube-and-Conquer
Inverting Cryptographic Hash Functions via Cube-and-Conquer
O. Zaikin
33
3
0
05 Dec 2022
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm
  Configuration
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration
Jasmin Brandt
Elias Schede
Viktor Bengs
Björn Haddenhorst
Eyke Hüllermeier
Kevin Tierney
53
5
0
01 Dec 2022
Features for the 0-1 knapsack problem based on inclusionwise maximal
  solutions
Features for the 0-1 knapsack problem based on inclusionwise maximal solutions
Jorik Jooken
Pieter Leyman
P. D. Causmaecker
44
7
0
16 Nov 2022
UNIFY: a Unified Policy Designing Framework for Solving Constrained
  Optimization Problems with Machine Learning
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning
Mattia Silvestri
A. D. Filippo
M. Lombardi
M. Milano
49
0
0
25 Oct 2022
Neural-Guided RuntimePrediction of Planners for Improved Motion and Task
  Planning with Graph Neural Networks
Neural-Guided RuntimePrediction of Planners for Improved Motion and Task Planning with Graph Neural Networks
S. Odense
Kamal Gupta
W. Macready
75
2
0
29 Jul 2022
Asynchronous Decentralized Bayesian Optimization for Large Scale
  Hyperparameter Optimization
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
Romain Egele
Isabelle M Guyon
V. Vishwanath
Prasanna Balaprakash
BDL
146
7
0
01 Jul 2022
Learning for Spatial Branching: An Algorithm Selection Approach
Learning for Spatial Branching: An Algorithm Selection Approach
Bissan Ghaddar
Ignacio Gómez-Casares
Julio González-Díaz
Brais González-Rodríguez
Beatriz Pateiro-López
Sofía Rodríguez-Ballesteros
61
12
0
22 Apr 2022
Automated Algorithm Selection: from Feature-Based to Feature-Free
  Approaches
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches
M. Alissa
Kevin Sim
E. Hart
53
17
0
24 Mar 2022
A Survey for Solving Mixed Integer Programming via Machine Learning
A Survey for Solving Mixed Integer Programming via Machine Learning
Jiayi Zhang
Chang-rui Liu
Junchi Yan
Xijun Li
Hui-Ling Zhen
Mingxuan Yuan
AI4CE
67
76
0
06 Mar 2022
On the Configuration of More and Less Expressive Logic Programs
On the Configuration of More and Less Expressive Logic Programs
Carmine Dodaro
Marco Maratea
Mauro Vallati
64
1
0
02 Mar 2022
Machine Learning Methods in Solving the Boolean Satisfiability Problem
Machine Learning Methods in Solving the Boolean Satisfiability Problem
Wenxuan Guo
Junchi Yan
Hui-Ling Zhen
Xijun Li
Mingxuan Yuan
Yaohui Jin
NAI
63
38
0
02 Mar 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential
  Model-based Optimization
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
Jungtaek Kim
Seungjin Choi
60
6
0
22 Feb 2022
A Survey of Methods for Automated Algorithm Configuration
A Survey of Methods for Automated Algorithm Configuration
Elias Schede
Jasmin Brandt
Alexander Tornede
Marcel Wever
Viktor Bengs
Eyke Hüllermeier
Kevin Tierney
98
52
0
03 Feb 2022
ML Supported Predictions for SAT Solvers Performance
ML Supported Predictions for SAT Solvers Performance
Anastasia-Maria Leventi-Peetz
J.-V. Peetz
Martina Rohde
LRM
26
0
0
17 Dec 2021
Towards Green Automated Machine Learning: Status Quo and Future
  Directions
Towards Green Automated Machine Learning: Status Quo and Future Directions
Tanja Tornede
Alexander Tornede
Jonas Hanselle
Marcel Wever
F. Mohr
Eyke Hüllermeier
124
38
0
10 Nov 2021
Explaining Hyperparameter Optimization via Partial Dependence Plots
Explaining Hyperparameter Optimization via Partial Dependence Plots
Julia Moosbauer
J. Herbinger
Giuseppe Casalicchio
Marius Lindauer
Bernd Bischl
109
59
0
08 Nov 2021
Predictive Machine Learning of Objective Boundaries for Solving COPs
Predictive Machine Learning of Objective Boundaries for Solving COPs
Helge Spieker
A. Gotlieb
35
0
0
04 Nov 2021
Learning a Large Neighborhood Search Algorithm for Mixed Integer
  Programs
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs
Nicolas Sonnerat
Pengming Wang
Ira Ktena
Sergey Bartunov
Vinod Nair
105
48
0
21 Jul 2021
Automatic model training under restrictive time constraints
Automatic model training under restrictive time constraints
Lukas Cironis
Jan Palczewski
Georgios Aivaliotis
16
0
0
21 Apr 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
61
23
0
19 Apr 2021
Towards Feature-Based Performance Regression Using Trajectory Data
Towards Feature-Based Performance Regression Using Trajectory Data
Anja Jankovic
T. Eftimov
Carola Doerr
82
26
0
10 Feb 2021
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate
  models
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models
Jeroen van Hoof
Joaquin Vanschoren
BDL
69
10
0
06 Jan 2021
Generalization in portfolio-based algorithm selection
Generalization in portfolio-based algorithm selection
Maria-Florina Balcan
Tuomas Sandholm
Ellen Vitercik
78
12
0
24 Dec 2020
AutonoML: Towards an Integrated Framework for Autonomous Machine
  Learning
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
92
17
0
23 Dec 2020
Solving Mixed Integer Programs Using Neural Networks
Solving Mixed Integer Programs Using Neural Networks
Vinod Nair
Sergey Bartunov
Felix Gimeno
Ingrid von Glehn
Pawel Lichocki
...
Pushmeet Kohli
Ira Ktena
Yujia Li
Oriol Vinyals
Yori Zwols
216
251
0
23 Dec 2020
Pareto-efficient Acquisition Functions for Cost-Aware Bayesian
  Optimization
Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization
Gauthier Guinet
Valerio Perrone
Cédric Archambeau
50
14
0
23 Nov 2020
Optimising the Performance of Convolutional Neural Networks across
  Computing Systems using Transfer Learning
Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning
Rik Mulder
Valentin Radu
Christophe Dubach
43
2
0
20 Oct 2020
On the Importance of Domain Model Configuration for Automated Planning
  Engines
On the Importance of Domain Model Configuration for Automated Planning Engines
Mauro Vallati
L. Chrpa
T. McCluskey
Frank Hutter
30
8
0
15 Oct 2020
Joint Multi-User DNN Partitioning and Computational Resource Allocation
  for Collaborative Edge Intelligence
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence
Xin Tang
Xu Chen
Liekang Zeng
Shuai Yu
Lin Chen
55
94
0
15 Jul 2020
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based
  on Survival Analysis
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis
Alexander Tornede
Marcel Wever
Stefan Werner
F. Mohr
Eyke Hüllermeier
66
13
0
06 Jul 2020
Deep Learning as a Competitive Feature-Free Approach for Automated
  Algorithm Selection on the Traveling Salesperson Problem
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
M. Seiler
J. Pohl
Jakob Bossek
P. Kerschke
Heike Trautmann
39
21
0
29 Jun 2020
Bayesian Optimization with a Prior for the Optimum
Bayesian Optimization with a Prior for the Optimum
Artur L. F. Souza
Luigi Nardi
Leonardo B. Oliveira
K. Olukotun
Marius Lindauer
Frank Hutter
97
8
0
25 Jun 2020
Efficient AutoML Pipeline Search with Matrix and Tensor Factorization
Efficient AutoML Pipeline Search with Matrix and Tensor Factorization
Chengrun Yang
Jicong Fan
Ziyang Wu
Madeleine Udell
70
9
0
07 Jun 2020
Toward Optimal Probabilistic Active Learning Using a Bayesian Approach
Toward Optimal Probabilistic Active Learning Using a Bayesian Approach
D. Kottke
M. Herde
Christoph Sandrock
Denis Huseljic
G. Krempl
Bernhard Sick
25
21
0
02 Jun 2020
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Kangfei Zhao
Shengcai Liu
Yu Rong
Jianwei Yu
71
2
0
01 Jun 2020
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated
  Algorithm Selection
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection
Jakob Bossek
P. Kerschke
Heike Trautmann
33
3
0
27 May 2020
MATE: A Model-based Algorithm Tuning Engine
MATE: A Model-based Algorithm Tuning Engine
Mohamed El Yafrani
M. Martins
Inkyung Sung
Markus Wagner
Carola Doerr
Peter Nielsen
70
4
0
27 Apr 2020
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