Title
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization C. Benjamins Gjorgjina Cenikj Ana Nikolikj Aditya Mohan T. Eftimov Marius Lindauer AI4CE 37 1 0 18 Jul 2024
Statistical Multicriteria Benchmarking via the GSD-Front Christoph Jansen G. Schollmeyer Julian Rodemann Hannah Blocher Thomas Augustin 92 4 0 06 Jun 2024
Frugal Algorithm Selection Erdem Kus Ozgur Akgun Nguyen Dang Ian Miguel 33 0 0 17 May 2024
Global Benchmark Database Markus Iser Christoph Jabs 27 2 0 16 May 2024
No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding Weizhe Chen Zhihan Wang Jiaoyang Li Sven Koenig B. Dilkina 74 0 0 04 Apr 2024
Characterising harmful data sources when constructing multi-fidelity surrogate models Nicolau Andrés-Thió Mario Andrés Muñoz Kate Smith-Miles 28 1 0 12 Mar 2024
Exploratory Landscape Analysis for Mixed-Variable Problems Raphael Patrick Prager Heike Trautmann 57 3 0 26 Feb 2024
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization André Hottung Mridul Mahajan Kevin Tierney 85 14 0 21 Feb 2024
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process Zhenan Fan Bissan Ghaddar Xinglu Wang Linzi Xing Yong Zhang Zirui Zhou AI4CE 99 13 0 06 Jan 2024
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
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym Elena Raponi Nathanaël Carraz Rakotonirina Jérémy Rapin Carola Doerr O. Teytaud 108 6 0 29 Sep 2023
Automatic Algorithm Selection for Pseudo-Boolean Optimization with Given Computational Time Limits Catalina Pezo D. Hochbaum Julio Godoy Roberto Javier Asín Achá 16 1 0 07 Sep 2023
Does AI for science need another ImageNet Or totally different benchmarks? A case study of machine learning force fields Yatao Li Wanling Gao Lei Wang Lixin Sun Zun Wang Jianfeng Zhan 60 1 0 11 Aug 2023
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory Sevvandi Kandanaarachchi K. Smith‐Miles 47 5 0 29 Jul 2023
Constructing a meta-learner for unsupervised anomaly detection M. Gutowska Suzanne Little A. Mccarren 29 3 0 22 Apr 2023
Explainable Model-specific Algorithm Selection for Multi-Label Classification Ana Kostovska Carola Doerr Jannis Brugger D. Kocev P. Panov T. Eftimov 48 1 0 21 Nov 2022
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection Lukas Fehring Jonas Hanselle Alexander Tornede 53 6 0 31 Oct 2022
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance Christoph Jansen Malte Nalenz G. Schollmeyer Thomas Augustin 69 15 0 05 Sep 2022
Zero-Shot AutoML with Pretrained Models Ekrem Öztürk Fabio Ferreira H. Jomaa Lars Schmidt-Thieme Josif Grabocka Frank Hutter VLM 115 10 0 16 Jun 2022
Automated Dynamic Algorithm Configuration Steven Adriaensen André Biedenkapp Gresa Shala Noor H. Awad Theresa Eimer Marius Lindauer Frank Hutter 106 39 0 27 May 2022
On the evaluation of (meta-)solver approaches R. Amadini M. Gabbrielli Tong Liu J. Mauro ELM OffRL 26 1 0 17 Feb 2022
Exploring the Feature Space of TSP Instances Using Quality Diversity Jakob Bossek Frank Neumann 64 10 0 04 Feb 2022
Predictive Machine Learning of Objective Boundaries for Solving COPs Helge Spieker A. Gotlieb 35 0 0 04 Nov 2021
(Machine) Learning to Improve the Empirical Performance of Discrete Algorithms Imran Adham J. D. Loera Zhenyang Zhang 59 4 0 29 Sep 2021
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization Ryoji Tanabe 63 15 0 17 Sep 2021
Machine Learning for Online Algorithm Selection under Censored Feedback Alexander Tornede Viktor Bengs Eyke Hüllermeier 83 3 0 13 Sep 2021
YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization Florian Pfisterer Lennart Schneider Julia Moosbauer Martin Binder B. Bischl 82 39 0 08 Sep 2021
Algorithm Selection on a Meta Level Alexander Tornede Lukas Gehring Tanja Tornede Marcel Wever Eyke Hüllermeier 67 19 0 20 Jul 2021
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 254 514 0 13 Jul 2021
Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem G. Pereira M. Santos A. Carvalho 59 2 0 07 Jun 2021
DACBench: A Benchmark Library for Dynamic Algorithm Configuration Theresa Eimer André Biedenkapp Maximilian V Reimer Steven Adriaensen Frank Hutter Marius Lindauer 86 29 0 18 May 2021
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
Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations Carlos Ansótegui Meinolf Sellmann Tapan Shah Kevin Tierney 51 4 0 18 Mar 2021
Instance Space Analysis for the Car Sequencing Problem Yuan Sun Samuel Esler D. Thiruvady Andreas T. Ernst Xiaodong Li K. Morgan 32 3 0 18 Dec 2020
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search Taoan Huang B. Dilkina Sven Koenig 85 27 0 10 Dec 2020
Towards Meta-Algorithm Selection Alexander Tornede Marcel Wever Eyke Hüllermeier 63 5 0 17 Nov 2020
sunny-as2: Enhancing SUNNY for Algorithm Selection Tong Liu R. Amadini J. Mauro M. Gabbrielli 19 6 0 07 Sep 2020
Collaborative Management of Benchmark Instances and their Attributes M. Iser Luca Springer C. Sinz 18 1 0 07 Sep 2020
Benchmarking in Optimization: Best Practice and Open Issues Thomas Bartz-Beielstein Carola Doerr Daan van den Berg Jakob Bossek Sowmya Chandrasekaran ... B. Naujoks Patryk Orzechowski Vanessa Volz Markus Wagner T. Weise 138 112 0 07 Jul 2020
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis Alexander Tornede Marcel Wever Stefan Werner F. Mohr Eyke Hüllermeier 80 13 0 06 Jul 2020
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
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Lucas Zimmer Marius Lindauer Frank Hutter MU 129 92 0 24 Jun 2020
Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants Anja Jankovic Carola Doerr 66 38 0 17 Jun 2020
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 Jakob Bossek P. Kerschke Heike Trautmann 33 3 0 27 May 2020
Versatile Black-Box Optimization Jialin Liu A. Moreau Mike Preuss Baptiste Roziere Jérémy Rapin F. Teytaud O. Teytaud 68 38 0 29 Apr 2020
Extreme Algorithm Selection With Dyadic Feature Representation Alexander Tornede Marcel Wever Eyke Hüllermeier 61 21 0 29 Jan 2020
Transfer Learning for Algorithm Recommendation G. Pereira M. Santos Edesio Alcobaça R. G. Mantovani A. Carvalho 45 2 0 15 Oct 2019
Best Practices for Scientific Research on Neural Architecture Search Marius Lindauer Frank Hutter 73 144 0 05 Sep 2019
Algorithm Selection for Image Quality Assessment Markus Wagner Hanhe Lin Shujun Li Dietmar Saupe 27 3 0 19 Aug 2019