ParamILS: An Automatic Algorithm Configuration Framework

15 January 2014

Thomas Stuetzle

Papers citing "ParamILS: An Automatic Algorithm Configuration Framework"

50 / 156 papers shown

Title
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers R. G. Mantovani André Luis Debiaso Rossi Edesio Alcobaça Joaquin Vanschoren A. Carvalho 74 69 0 04 Jun 2019
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees Maria-Florina Balcan Tuomas Sandholm Ellen Vitercik 70 16 0 26 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 75 86 0 26 Apr 2019
On the Impact of the Cutoff Time on the Performance of Algorithm Configurators George T. Hall P. S. Oliveto Dirk Sudholt 70 12 0 12 Apr 2019
Hyper-Parameter Tuning for the (1+(λ,λ)) GA Nguyen Dang Carola Doerr 61 21 0 09 Apr 2019
Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems Juho Lauri Sourav Dutta 43 22 0 22 Feb 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
Automated Algorithm Selection: Survey and Perspectives P. Kerschke Holger H. Hoos Frank Neumann Heike Trautmann 77 384 0 28 Nov 2018
Tuning metaheuristics by sequential optimization of regression models Athila R. Trindade F. Campelo 36 15 0 11 Sep 2018
Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling O. Shylo Hesam Shams 25 9 0 31 Aug 2018
Faster Support Vector Machines Sebastian Schlag Matthias Schmitt Christian Schulz 84 27 0 20 Aug 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks Tobias Hinz Nicolás Navarro-Guerrero S. Magg S. Wermter 76 105 0 19 Jul 2018
LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration Gellert Weisz András Gyorgy Csaba Szepesvári 48 35 0 02 Jul 2018
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization Juan Cruz Barsce J. Palombarini E. Martínez GP 62 33 0 12 May 2018
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping Shengcai Liu K. Tang Xin Yao 79 29 0 17 Apr 2018
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices Benjamin Doerr Carola Doerr 59 75 0 16 Apr 2018
Learning to Branch Maria-Florina Balcan Travis Dick Tuomas Sandholm Ellen Vitercik 90 173 0 27 Mar 2018
Algorithm Configuration: Learning policies for the quick termination of poor performers Daniel Karapetyan Andrew J. Parkes T. Stützle BDL 16 5 0 26 Mar 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning Ahmed Alaa M. Schaar 72 89 0 20 Feb 2018
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 142 35 0 06 Feb 2018
Warmstarting of Model-based Algorithm Configuration Marius Lindauer Frank Hutter 91 62 0 14 Sep 2017
Dependency Injection for Programming by Optimization Zoltan A. Kocsis J. Swan 53 8 0 13 Jul 2017
Hot-Rodding the Browser Engine: Automatic Configuration of JavaScript Compilers Chris Fawcett Lars Kotthoff Holger H. Hoos 50 1 0 11 Jul 2017
Deep Optimization for Spectrum Repacking N. Newman A. Fréchette Kevin Leyton-Brown 36 34 0 11 Jun 2017
Pitfalls and Best Practices in Algorithm Configuration Katharina Eggensperger Marius Lindauer Frank Hutter 94 63 0 17 May 2017
Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates Katharina Eggensperger Marius Lindauer Holger H. Hoos Frank Hutter Kevin Leyton-Brown 56 7 0 30 Mar 2017
Truth and Regret in Online Scheduling Shuchi Chawla Nikhil R. Devanur Janardhan Kulkarni Rad Niazadeh 48 13 0 01 Mar 2017
BliStrTune: Hierarchical Invention of Theorem Proving Strategies Jan Jakubuv Josef Urban 83 25 0 26 Nov 2016
Monte Carlo Tableau Proof Search Michael Färber C. Kaliszyk Josef Urban 71 14 0 18 Nov 2016
A case study of algorithm selection for the traveling thief problem Markus Wagner Marius Lindauer Mustafa Misir Samadhi Nallaperuma Frank Hutter 71 66 0 02 Sep 2016
Automatically Reinforcing a Game AI D. St-Pierre Jean-Baptiste Hoock Jialin Liu F. Teytaud O. Teytaud 44 2 0 27 Jul 2016
Global Continuous Optimization with Error Bound and Fast Convergence Kenji Kawaguchi Y. Maruyama Xiaoyu Zheng 59 24 0 17 Jul 2016
Markov Chain methods for the bipartite Boolean quadratic programming problem Daniel Karapetyan Abraham P. Punnen Andrew J. Parkes 13 1 0 06 May 2016
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 100 221 0 08 Jun 2015
Grid-based angle-constrained path planning Konstantin Yakovlev E. Baskin Ivan Hramoin 30 23 0 05 Jun 2015
Short Portfolio Training for CSP Solving Mirko Stojadinovic Mladen Nikolic Filip Marić 41 4 0 08 May 2015
The Configurable SAT Solver Challenge (CSSC) Frank Hutter Marius Lindauer A. Balint Sam Bayless Holger Hoos Kevin Leyton-Brown LRM 96 80 0 05 May 2015
Hyperparameter Search in Machine Learning Marc Claesen B. De Moor 102 443 0 07 Feb 2015
Easy Hyperparameter Search Using Optunity Marc Claesen Jaak Simm D. Popovic Yves Moreau B. De Moor 75 78 0 02 Dec 2014
Simulating Non Stationary Operators in Search Algorithms Adrien Goëffon F. Lardeux F. Saubion 22 12 0 05 Sep 2014
Online Speedup Learning for Optimal Planning Carmel Domshlak E. Karpas Shaul Markovitch 68 21 0 23 Jan 2014
Efficient Multi-Start Strategies for Local Search Algorithms András Gyorgy Levente Kocsis 107 89 0 16 Jan 2014
Solver Scheduling via Answer Set Programming Holger Hoos Roland Kaminski Marius Lindauer Torsten Schaub 130 43 0 06 Jan 2014
Bayesian Optimization With Censored Response Data Frank Hutter Holger Hoos Kevin Leyton-Brown 102 36 0 07 Oct 2013
Efficient Continuous-Time Markov Chain Estimation Monir Hajiaghayi Bonnie Kirkpatrick Liangliang Wang Alexandre Bouchard-Côté 64 31 0 12 Sep 2013
MaLeS: A Framework for Automatic Tuning of Automated Theorem Provers D. Kühlwein Josef Urban 145 22 0 09 Aug 2013
A Multi-Engine Approach to Answer Set Programming Marco Maratea Luca Pulina Francesco Ricca 98 77 0 20 Jun 2013
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning M. Khouadjia Marc Schoenauer V. Vidal Johann Dréo P. Savéant 37 0 0 10 May 2013
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches M. Khouadjia Marc Schoenauer V. Vidal Johann Dréo P. Savéant 45 3 0 06 May 2013
BliStr: The Blind Strategymaker Josef Urban 96 65 0 12 Jan 2013