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Fully Parallel Hyperparameter Search: Reshaped Space-Filling
v1v2 (latest)

Fully Parallel Hyperparameter Search: Reshaped Space-Filling

18 October 2019
Marie-Liesse Cauwet
Camille Couprie
J. Dehos
Pauline Luc
Jérémy Rapin
M. Rivière
F. Teytaud
O. Teytaud
ArXiv (abs)PDFHTML

Papers citing "Fully Parallel Hyperparameter Search: Reshaped Space-Filling"

11 / 11 papers shown
Title
carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks
carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks
C. Benjamins
Helena Graf
Sarah Segel
Difan Deng
Tim Ruhkopf
...
Matthias Feurer
Katharina Eggensperger
Frank Hutter
Carola Doerr
Marius Lindauer
45
0
0
06 Jun 2025
Message-Passing Monte Carlo: Generating low-discrepancy point sets via
  Graph Neural Networks
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks
T. Konstantin Rusch
Nathan Kirk
M. Bronstein
Christiane Lemieux
Daniela Rus
101
7
0
23 May 2024
Optimizing with Low Budgets: a Comparison on the Black-box Optimization
  Benchmarking Suite and OpenAI Gym
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym
Elena Raponi
Nathanaël Carraz Rakotonirina
Jérémy Rapin
Carola Doerr
O. Teytaud
108
6
0
29 Sep 2023
Asymptotic convergence rates for averaging strategies
Asymptotic convergence rates for averaging strategies
Laurent Meunier
Iskander Legheraba
Y. Chevaleyre
O. Teytaud
MoMeFedML
142
1
0
10 Aug 2021
Resource Planning for Hospitals Under Special Consideration of the
  COVID-19 Pandemic: Optimization and Sensitivity Analysis
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis
Thomas Bartz-Beielstein
Marcel Dröscher
Alpar Gür
Alexander Hinterleitner
Olaf Mersmann
...
Nicolas Rehbach
Frederik Rehbach
Amrita Sen
A. Subbotin
Martin Zaefferer
133
4
0
16 May 2021
MOFA: Modular Factorial Design for Hyperparameter Optimization
MOFA: Modular Factorial Design for Hyperparameter Optimization
Bo Xiong
Yimin Huang
Hanrong Ye
Steffen Staab
Zhenguo Li
120
1
0
18 Nov 2020
Benchmarking in Optimization: Best Practice and Open Issues
Benchmarking in Optimization: Best Practice and Open Issues
Thomas Bartz-Beielstein
Carola Doerr
Daan van den Berg
Jakob Bossek
Sowmya Chandrasekaran
...
B. Naujoks
Patryk Orzechowski
Vanessa Volz
Markus Wagner
T. Weise
138
112
0
07 Jul 2020
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling
  Strategy
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy
Quentin Renau
Carola Doerr
Johann Dréo
Benjamin Doerr
126
60
0
19 Jun 2020
Versatile Black-Box Optimization
Versatile Black-Box Optimization
Jialin Liu
A. Moreau
Mike Preuss
Baptiste Roziere
Jérémy Rapin
F. Teytaud
O. Teytaud
68
38
0
29 Apr 2020
Variance Reduction for Better Sampling in Continuous Domains
Variance Reduction for Better Sampling in Continuous Domains
Laurent Meunier
Carola Doerr
Jérémy Rapin
O. Teytaud
130
8
0
24 Apr 2020
One-Shot Decision-Making with and without Surrogates
One-Shot Decision-Making with and without Surrogates
Jakob Bossek
P. Kerschke
Aneta Neumann
Frank Neumann
Carola Doerr
127
2
0
19 Dec 2019
1