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2205.08835
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Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization
18 May 2022
Antonio Candelieri
Andrea Ponti
F. Archetti
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Papers citing
"Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization"
11 / 11 papers shown
Title
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
Sixuan Wang
Jiao Yin
Jinli Cao
MingJian Tang
Hua Wang
Yanchun Zhang
GNN
AI4CE
42
0
0
30 Apr 2025
FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization
Hui Chen
Xuhui Fan
Zhangkai Wu
Longbing Cao
LLMAG
38
0
0
28 Apr 2025
Vector Optimization with Gaussian Process Bandits
İlter Onat Korkmaz
Yaşar Cahit Yıldırım
Çağın Ararat
Cem Tekin
56
0
0
03 Dec 2024
Mastering the exploration-exploitation trade-off in Bayesian Optimization
Antonio Candelieri
16
1
0
15 May 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Hilde J. P. Weerts
Florian Pfisterer
Matthias Feurer
Katharina Eggensperger
Eddie Bergman
Noor H. Awad
Joaquin Vanschoren
Mykola Pechenizkiy
B. Bischl
Frank Hutter
FaML
31
17
0
15 Mar 2023
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
Shuhei Watanabe
Noor H. Awad
Masaki Onishi
Frank Hutter
29
8
0
13 Dec 2022
Efficiently Controlling Multiple Risks with Pareto Testing
Bracha Laufer-Goldshtein
Adam Fisch
Regina Barzilay
Tommi Jaakkola
25
16
0
14 Oct 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
26
159
0
14 Jul 2022
Towards Green Automated Machine Learning: Status Quo and Future Directions
Tanja Tornede
Alexander Tornede
Jonas Hanselle
Marcel Wever
F. Mohr
Eyke Hüllermeier
54
36
0
10 Nov 2021
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
225
485
0
31 Dec 2020
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
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