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Algorithm Runtime Prediction: Methods & Evaluation

5 November 2012

Holger H. Hoos

Papers citing "Algorithm Runtime Prediction: Methods & Evaluation"

50 / 85 papers shown

Title
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 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 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 Ilias Mitrai P. Daoutidis 58 4 0 10 Oct 2023
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? 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 31 5 0 04 Sep 2023
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 Lennart Purucker Joeran Beel MoE 65 8 0 01 Jul 2023
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 Haoze Wu Christopher Hahn Florian Lonsing Makai Mann R. Ramanujan Clark W. Barrett OffRL LRM 94 1 0 18 May 2023
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 Yaobo Song Laurens Bliek Yingqian Zhang 85 1 0 08 Feb 2023
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 O. Zaikin 33 3 0 05 Dec 2022
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 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 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 S. Odense Kamal Gupta W. Macready 75 2 0 29 Jul 2022
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 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 M. Alissa Kevin Sim E. Hart 53 17 0 24 Mar 2022
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 77 0 06 Mar 2022
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 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 Jungtaek Kim Seungjin Choi 60 6 0 22 Feb 2022
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 Anastasia-Maria Leventi-Peetz J.-V. Peetz Martina Rohde LRM 28 0 0 17 Dec 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
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 Helge Spieker A. Gotlieb 35 0 0 04 Nov 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
Automatic model training under restrictive time constraints Lukas Cironis Jan Palczewski Georgios Aivaliotis 18 0 0 21 Apr 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
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 Jeroen van Hoof Joaquin Vanschoren BDL 69 10 0 06 Jan 2021
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 D. Kedziora Katarzyna Musial Bogdan Gabrys 92 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 216 251 0 23 Dec 2020
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 Rik Mulder Valentin Radu Christophe Dubach 43 2 0 20 Oct 2020
On the Importance of Domain Model Configuration for Automated Planning Engines Mauro Vallati L. Chrpa T. McCluskey Frank Hutter 32 8 0 15 Oct 2020
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 Alexander Tornede Marcel Wever Stefan Werner F. Mohr Eyke Hüllermeier 68 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
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 Chengrun Yang Jicong Fan Ziyang Wu Madeleine Udell 70 9 0 07 Jun 2020
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 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
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