Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2501.11414
Cited By
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
20 January 2025
Quentin Renau
E. Hart
Re-assign community
ArXiv (abs)
PDF
HTML
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
89
1
0
24 Jun 2024
On the Utility of Probing Trajectories for Algorithm-Selection
Quentin Renau
Emma Hart
86
6
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
74
10
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
80
13
0
18 Jun 2023
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems
Gjorgjina Cenikj
G. Petelin
Carola Doerr
Peter Korošec
T. Eftimov
84
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
55
8
0
17 Feb 2023
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Ana Kostovska
Anja Jankovic
Diederick Vermetten
Jacob De Nobel
Hao Wang
T. Eftimov
Carola Doerr
82
37
0
20 Apr 2022
Trajectory-based Algorithm Selection with Warm-starting
Anja Jankovic
Diederick Vermetten
Ana Kostovska
Jacob De Nobel
T. Eftimov
Carola Doerr
92
10
0
13 Apr 2022
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches
M. Alissa
Kevin Sim
E. Hart
47
17
0
24 Mar 2022
Revisiting Deep Learning Models for Tabular Data
Yu. V. Gorishniy
Ivan Rubachev
Valentin Khrulkov
Artem Babenko
LMTD
135
780
0
22 Jun 2021
HIVE-COTE 2.0: a new meta ensemble for time series classification
Matthew Middlehurst
J. Large
Michael Flynn
Jason Lines
A. Bostrom
A. Bagnall
AI4TS
110
249
0
15 Apr 2021
Towards Feature-Based Performance Regression Using Trajectory Data
Anja Jankovic
T. Eftimov
Carola Doerr
82
26
0
10 Feb 2021
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
Quentin Renau
Johann Dréo
Carola Doerr
Benjamin Doerr
62
33
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
109
947
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
33
21
0
29 Jun 2020
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster
Franccois Petitjean
Geoffrey I. Webb
AI4TS
91
785
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
72
233
0
17 Sep 2019
Automated Algorithm Selection: Survey and Perspectives
P. Kerschke
Holger H. Hoos
Frank Neumann
Heike Trautmann
77
384
0
28 Nov 2018
shapeDTW: shape Dynamic Time Warping
Jiaping Zhao
Laurent Itti
59
209
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
88
430
0
29 Mar 2016
A Time Series Forest for Classification and Feature Extraction
Houtao Deng
G. Runger
E. Tuv
V. Martyanov
93
547
0
09 Feb 2013
1