ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.08166
  4. Cited By
Automatic Termination for Hyperparameter Optimization
v1v2v3v4 (latest)

Automatic Termination for Hyperparameter Optimization

16 April 2021
Anastasia Makarova
Huibin Shen
Valerio Perrone
Aaron Klein
Jean Baptiste Faddoul
Andreas Krause
Matthias Seeger
Cédric Archambeau
ArXiv (abs)PDFHTML

Papers citing "Automatic Termination for Hyperparameter Optimization"

16 / 16 papers shown
Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization
Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization
Lukas Fehring
Marcel Wever
Maximilian Spliethover
Leona Hennig
Henning Wachsmuth
Marius Lindauer
141
1
0
04 Nov 2025
Cost-aware Stopping for Bayesian Optimization
Cost-aware Stopping for Bayesian Optimization
Qian Xie
Linda Cai
Alexander Terenin
P. Frazier
Ziv Scully
309
1
0
16 Jul 2025
An $(ε,δ)$-accurate level set estimation with a stopping criterion
An (ε,δ)(ε,δ)(ε,δ)-accurate level set estimation with a stopping criterion
Hideaki Ishibashi
Kota Matsui
Kentaro Kutsukake
H. Hino
280
0
0
26 Mar 2025
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?
Anastasia S. Georgiou
Daniel Jungen
Luise F. Kaven
Verena Hunstig
Constantine Frangakis
Ioannis G. Kevrekidis
Alexander Mitsos
401
2
0
05 Mar 2025
Reshuffling Resampling Splits Can Improve Generalization of
  Hyperparameter Optimization
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
Thomas Nagler
Lennart Schneider
J. Herbinger
Matthias Feurer
237
4
0
24 May 2024
Stopping Bayesian Optimization with Probabilistic Regret Bounds
Stopping Bayesian Optimization with Probabilistic Regret Bounds
James T. Wilson
356
13
0
26 Feb 2024
Bespoke Nanoparticle Synthesis and Chemical Knowledge Discovery Via
  Autonomous Experimentations
Bespoke Nanoparticle Synthesis and Chemical Knowledge Discovery Via Autonomous Experimentations
H. Yoo
N. Kim
Heeseung Lee
Daeho Kim
Leslie Ching Ow Tiong
...
Chansoo Kim
Seung Yong Lee
Kwan-Young Lee
Donghun Kim
S. Han
243
2
0
01 Sep 2023
Obeying the Order: Introducing Ordered Transfer Hyperparameter
  Optimisation
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation
Sigrid Passano Hellan
Huibin Shen
Franccois-Xavier Aubet
David Salinas
Aaron Klein
250
2
0
29 Jun 2023
AutoML in the Age of Large Language Models: Current Challenges, Future
  Opportunities and Risks
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede
Difan Deng
Theresa Eimer
Joseph Giovanelli
Aditya Mohan
...
Sarah Segel
Daphne Theodorakopoulos
Tanja Tornede
Henning Wachsmuth
Marius Lindauer
383
40
0
13 Jun 2023
A Probabilistic Framework for Modular Continual Learning
A Probabilistic Framework for Modular Continual LearningInternational Conference on Learning Representations (ICLR), 2023
Lazar Valkov
Akash Srivastava
Swarat Chaudhuri
Charles Sutton
CLL
210
5
0
11 Jun 2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization
C. Benjamins
Elena Raponi
Anja Jankovic
Carola Doerr
Marius Lindauer
TPM
290
9
0
07 Jun 2023
Bayesian Optimisation Against Climate Change: Applications and Benchmarks
Bayesian Optimisation Against Climate Change: Applications and Benchmarks
Sigrid Passano Hellan
Christopher G. Lucas
Nigel H. Goddard
348
2
0
07 Jun 2023
Hyperparameters in Reinforcement Learning and How To Tune Them
Hyperparameters in Reinforcement Learning and How To Tune ThemInternational Conference on Machine Learning (ICML), 2023
Theresa Eimer
Marius Lindauer
Roberta Raileanu
OffRL
475
90
0
02 Jun 2023
Learning Relevant Contextual Variables Within Bayesian Optimization
Learning Relevant Contextual Variables Within Bayesian OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2023
Julien Martinelli
Ayush Bharti
A. Tiihonen
S. T. John
Louis Filstroff
Sabina J. Sloman
Patrick Rinke
Samuel Kaski
418
0
0
23 May 2023
Combined Pruning for Nested Cross-Validation to Accelerate Automated
  Hyperparameter Optimization for Embedded Feature Selection in
  High-Dimensional Data with Very Small Sample Sizes
Combined Pruning for Nested Cross-Validation to Accelerate Automated Hyperparameter Optimization for Embedded Feature Selection in High-Dimensional Data with Very Small Sample Sizes
Sigrun May
Sven Hartmann
F. Klawonn
200
3
0
01 Feb 2022
Towards Green Automated Machine Learning: Status Quo and Future
  Directions
Towards Green Automated Machine Learning: Status Quo and Future DirectionsJournal of Artificial Intelligence Research (JAIR), 2021
Tanja Tornede
Alexander Tornede
Jonas Hanselle
Marcel Wever
F. Mohr
Eyke Hüllermeier
473
52
0
10 Nov 2021
1
Page 1 of 1