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HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

7 December 2020
Alexander I. Cowen-Rivers
Wenlong Lyu
Rasul Tutunov
Zhi Wang
Antoine Grosnit
Ryan-Rhys Griffiths
A. Maraval
Hao Jianye
Jun Wang
Jan Peters
H. Ammar
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Papers citing "HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation"

12 / 12 papers shown
Title
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions
Mickael Binois
Jeffrey Larson
74
0
0
29 Apr 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Bingye Zhou
Caiyang Yu
DiffM
51
0
0
24 Apr 2025
Surrogate-based optimization of system architectures subject to hidden constraints
Surrogate-based optimization of system architectures subject to hidden constraints
J. Bussemaker
P. Saves
N. Bartoli
T. Lefebvre
Björn Nagel
AI4CE
105
2
0
11 Apr 2025
Be aware of overfitting by hyperparameter optimization!
Be aware of overfitting by hyperparameter optimization!
Igor V. Tetko
R. V. Deursen
Guillaume Godin
AI4CE
29
8
0
30 Jul 2024
Long-run Behaviour of Multi-fidelity Bayesian Optimisation
Long-run Behaviour of Multi-fidelity Bayesian Optimisation
G. Dovonon
Jakob Zeitler
21
1
0
19 Dec 2023
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation
  and A Strong Structure-Hardness-Aware Baseline
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline
Y. Li
Xinyan Chen
Wenxuan Guo
Xijun Li
Wanqian Luo
Jun Huang
Hui-Ling Zhen
M. Yuan
Junchi Yan
27
17
0
04 Feb 2023
Contextual Causal Bayesian Optimisation
Contextual Causal Bayesian Optimisation
Vahan Arsenyan
Antoine Grosnit
Haitham Bou-Ammar
CML
14
2
0
29 Jan 2023
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using
  Zooming Memory-Based Initialization (ZoMBI)
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)
Alexander E. Siemenn
Zekun Ren
Qianxiao Li
Tonio Buonassisi
31
23
0
26 Aug 2022
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems
  for HPO
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Katharina Eggensperger
Philip Muller
Neeratyoy Mallik
Matthias Feurer
René Sass
Aaron Klein
Noor H. Awad
Marius Lindauer
Frank Hutter
30
100
0
14 Sep 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft
  Winner-Take-All Networks
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks
Timoleon Moraitis
Dmitry Toichkin
Adrien Journé
Yansong Chua
Qinghai Guo
AAML
BDL
68
28
0
12 Jul 2021
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,608
0
19 Feb 2017
Manifold Gaussian Processes for Regression
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
84
271
0
24 Feb 2014
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