Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model

20 January 2025

Papers citing "Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model"

21 / 21 papers shown

Title
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection Quentin Renau Emma Hart 146 1 0 24 Jun 2024
On the Utility of Probing Trajectories for Algorithm-Selection Quentin Renau Emma Hart 172 9 0 23 Jan 2024
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems Ana Kostovska Anja Jankovic Diederick Vermetten Jannis Brugger T. Eftimov Carola Doerr 150 17 0 30 Jun 2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts Diederick Vermetten Furong Ye Thomas Bäck Carola Doerr 179 15 0 18 Jun 2023
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization ProblemsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023 Gjorgjina Cenikj G. Petelin Carola Doerr Peter Korošec T. Eftimov 190 11 0 08 Jun 2023
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features Diederick Vermetten Hao Wang Kevin Sim E. Hart 152 10 0 17 Feb 2023
Per-run Algorithm Selection with Warm-starting using Trajectory-based FeaturesParallel Problem Solving from Nature (PPSN), 2022 Ana Kostovska Anja Jankovic Diederick Vermetten Jacob De Nobel Hao Wang T. Eftimov Carola Doerr 161 39 0 20 Apr 2022
Trajectory-based Algorithm Selection with Warm-startingIEEE Congress on Evolutionary Computation (CEC), 2022 Anja Jankovic Diederick Vermetten Ana Kostovska Jacob De Nobel T. Eftimov Carola Doerr 173 11 0 13 Apr 2022
Automated Algorithm Selection: from Feature-Based to Feature-Free ApproachesJournal of Heuristics (J. Heuristics), 2022 M. Alissa Kevin Sim E. Hart 114 19 0 24 Mar 2022
Revisiting Deep Learning Models for Tabular DataNeural Information Processing Systems (NeurIPS), 2021 Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 336 1,013 0 22 Jun 2021
HIVE-COTE 2.0: a new meta ensemble for time series classificationMachine-mediated learning (ML), 2021 Matthew Middlehurst J. Large Michael Flynn Jason Lines A. Bostrom A. Bagnall AI4TS 211 295 0 15 Apr 2021
Towards Feature-Based Performance Regression Using Trajectory Data Anja Jankovic T. Eftimov Carola Doerr 142 27 0 10 Feb 2021
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions Quentin Renau Johann Dréo Carola Doerr Benjamin Doerr 143 35 0 01 Feb 2021
A Transformer-based Framework for Multivariate Time Series Representation Learning George Zerveas Srideepika Jayaraman Dhaval Patel A. Bhamidipaty Carsten Eickhoff AI4TS 258 1,172 0 06 Oct 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 134 23 0 29 Jun 2020
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernelsData mining and knowledge discovery (DMKD), 2019 Angus Dempster Franccois Petitjean Geoffrey I. Webb AI4TS 151 912 0 29 Oct 2019
sktime: A Unified Interface for Machine Learning with Time Series M. Löning A. Bagnall S. Ganesh V. Kazakov Jason Lines Franz J. Király SyDa AI4TS 127 261 0 17 Sep 2019
Automated Algorithm Selection: Survey and Perspectives P. Kerschke Holger H. Hoos Frank Neumann Heike Trautmann 129 420 0 28 Nov 2018
shapeDTW: shape Dynamic Time WarpingPattern Recognition (Pattern Recognit.), 2016 Jiaping Zhao Laurent Itti 190 232 0 06 Jun 2016
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting N. Hansen A. Auger Raymond Ros Olaf Mersmann Tea Tušar D. Brockhoff 262 479 0 29 Mar 2016
A Time Series Forest for Classification and Feature ExtractionInformation Sciences (Inf. Sci.), 2013 Houtao Deng G. Runger E. Tuv V. Martyanov 237 575 0 09 Feb 2013