ParamILS: An Automatic Algorithm Configuration Framework

15 January 2014

Thomas Stuetzle

Papers citing "ParamILS: An Automatic Algorithm Configuration Framework"

50 / 156 papers shown

Title
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers Julia Moosbauer Martin Binder Lennart Schneider Florian Pfisterer Marc Becker Michel Lang Lars Kotthoff Bernd Bischl 64 8 0 29 Nov 2021
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 72 103 0 23 Nov 2021
Improved Sample Complexity Bounds for Branch-and-Cut Maria-Florina Balcan Siddharth Prasad Tuomas Sandholm Ellen Vitercik 86 16 0 18 Nov 2021
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
Parameter Tuning Strategies for Metaheuristic Methods Applied to Discrete Optimization of Structural Design I. Negrin D. Roose Ernesto Chagoyén 28 3 0 12 Oct 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 136 349 0 20 Sep 2021
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning Eyke Hüllermeier F. Mohr Alexander Tornede Marcel Wever LRM 88 3 0 10 Sep 2021
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
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization Eva Bartz Martin Zaefferer Olaf Mersmann Thomas Bartz-Beielstein 72 4 0 19 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 254 516 0 13 Jul 2021
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance Furong Ye Carola Doerr Hao Wang Thomas Bäck 74 25 0 11 Jun 2021
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond Maria-Florina Balcan Siddharth Prasad Tuomas Sandholm Ellen Vitercik 63 39 0 08 Jun 2021
Multi-Objectivizing Software Configuration Tuning (for a single performance concern) Tao Chen Miqing Li 67 32 0 31 May 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
D-VAL: An automatic functional equivalence validation tool for planning domain models Anas Shrinah D. Long Kerstin Eder 13 1 0 29 Apr 2021
Learning to Schedule Heuristics in Branch-and-Bound Antonia Chmiela Elias Boutros Khalil Ambros M. Gleixner Andrea Lodi Sebastian Pokutta 97 62 0 18 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 111 87 0 01 Mar 2021
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection Furong Ye Carola Doerr Thomas Bäck 57 7 0 12 Feb 2021
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning D. Kedziora Katarzyna Musial Bogdan Gabrys 94 17 0 23 Dec 2020
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 216 252 0 23 Dec 2020
Amazon SageMaker Autopilot: a white box AutoML solution at scale Piali Das Laurence Rouesnel Nikita Ivkin Tanya Bansal Zohar Karnin ... Giovanni Zappella Cedric Archembeau Matthias Seeger Bhaskar Dutt K. Venkateswar 91 69 0 15 Dec 2020
Learning from Survey Propagation: a Neural Network for MAX-E- $3$ -SAT Raffaele Marino 65 14 0 10 Dec 2020
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization Angelos Chatzimparmpas Rafael M. Martins Kostiantyn Kucher Andreas Kerren 80 21 0 02 Dec 2020
Qualities, challenges and future of genetic algorithms: a literature review A. Vié Alissa M. Kleinnijenhuis Doyne, J Farmer AI4CE 18 17 0 05 Nov 2020
On the Importance of Domain Model Configuration for Automated Planning Engines Mauro Vallati L. Chrpa T. McCluskey Frank Hutter 41 8 0 15 Oct 2020
Neural Model-based Optimization with Right-Censored Observations Katharina Eggensperger Kai Haase Philip Muller Marius Lindauer Frank Hutter 85 9 0 29 Sep 2020
An Easy-to-use Real-world Multi-objective Optimization Problem Suite Ryoji Tanabe H. Ishibuchi 69 258 0 27 Sep 2020
Analyzing Adaptive Parameter Landscapes in Parameter Adaptation Methods for Differential Evolution Ryoji Tanabe 18 2 0 26 Sep 2020
Towards Portfolios of Streamlined Constraint Models: A Case Study with the Balanced Academic Curriculum Problem Patrick Spracklen Nguyen Dang Ozgur Akgun Ian Miguel 27 3 0 21 Sep 2020
sunny-as2: Enhancing SUNNY for Algorithm Selection Tong Liu R. Amadini J. Mauro M. Gabbrielli 29 6 0 07 Sep 2020
OneStopTuner: An End to End Architecture for JVM Tuning of Spark Applications Venktesh V Pooja B Bindal Devesh Singhal A. V. Subramanyam Vivek Kumar 8 3 0 07 Sep 2020
Practical and sample efficient zero-shot HPO Fela Winkelmolen Nikita Ivkin H. Bozkurt Zohar Karnin VLM 62 13 0 27 Jul 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 135 285 0 08 Jul 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
Fast Perturbative Algorithm Configurators George T. Hall P. S. Oliveto Dirk Sudholt 64 7 0 07 Jul 2020
Few-shots Parallel Algorithm Portfolio Construction via Co-evolution Ke Tang Shengcai Liu Peng Yang Xin Yao 49 1 0 01 Jul 2020
Refined bounds for algorithm configuration: The knife-edge of dual class approximability Maria-Florina Balcan Tuomas Sandholm Ellen Vitercik 71 15 0 21 Jun 2020
Learning Heuristic Selection with Dynamic Algorithm Configuration David Speck André Biedenkapp Frank Hutter Robert Mattmüller Marius Lindauer 94 29 0 15 Jun 2020
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
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics A. Latorre Daniel Molina E. Osaba Javier Del Ser Francisco Herrera 56 116 0 19 Apr 2020
Analysis of the Performance of Algorithm Configurators for Search Heuristics with Global Mutation Operators George T. Hall P. S. Oliveto Dirk Sudholt 68 10 0 09 Apr 2020
Automated Configuration of Negotiation Strategies Bram M. Renting Holger H. Hoos Catholijn M. Jonker 29 6 0 31 Mar 2020
Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization Yi Chu Chuan Luo Holger H. Hoos Qingwei Lin Haihang You 19 3 0 27 Feb 2020
Learning Interpretable Error Functions for Combinatorial Optimization Problem Modeling Florian Richoux Jean-François Baffier 17 2 0 23 Feb 2020
Multi-Task Multicriteria Hyperparameter Optimization Kirill Akhmetzyanov A. Yuzhakov 10 3 0 15 Feb 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
On Performance Estimation in Automatic Algorithm Configuration Shengcai Liu K. Tang Yunwen Lei Xin Yao 77 23 0 19 Nov 2019
Encoding Selection for Solving Hamiltonian Cycle Problems with ASP Liu Liu M. Truszczynski 21 4 0 18 Sep 2019
How much data is sufficient to learn high-performing algorithms? Generalization guarantees for data-driven algorithm design Maria-Florina Balcan Dan F. DeBlasio Travis Dick Carl Kingsford Tuomas Sandholm Ellen Vitercik 79 35 0 08 Aug 2019
Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches Matheus G. Vilas Boas H. Santos L. Merschmann G. V. Berghe 81 18 0 03 Jul 2019