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Fair Bayesian Optimization

Fair Bayesian Optimization

9 June 2020
Valerio Perrone
Michele Donini
Muhammad Bilal Zafar
Robin Schmucker
K. Kenthapadi
Cédric Archambeau
    FaML
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Papers citing "Fair Bayesian Optimization"

13 / 13 papers shown
Title
Mind the Graph When Balancing Data for Fairness or Robustness
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff
Alexis Bellot
Amal Rannen-Triki
Alan Malek
Isabela Albuquerque
A. Gretton
Alexander DÁmour
Silvia Chiappa
OOD
CML
42
1
0
25 Jun 2024
Unprocessing Seven Years of Algorithmic Fairness
Unprocessing Seven Years of Algorithmic Fairness
André F. Cruz
Moritz Hardt
29
10
0
12 Jun 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization
OpenBox: A Python Toolkit for Generalized Black-box Optimization
Huaijun Jiang
Yu Shen
Yang Li
Beicheng Xu
Sixian Du
Wentao Zhang
Ce Zhang
Bin Cui
30
4
0
26 Apr 2023
Out of Context: Investigating the Bias and Fairness Concerns of
  "Artificial Intelligence as a Service"
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
Kornel Lewicki
M. S. Lee
Jennifer Cobbe
Jatinder Singh
26
21
0
02 Feb 2023
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter
  Optimization
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
Yi-Wei Chen
Chi Wang
A. Saied
Rui Zhuang
11
2
0
04 Aug 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
  Overview
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
26
56
0
15 Jun 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
38
197
0
07 Jun 2022
Fair and Green Hyperparameter Optimization via Multi-objective and
  Multiple Information Source Bayesian Optimization
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization
Antonio Candelieri
Andrea Ponti
F. Archetti
27
15
0
18 May 2022
Amazon SageMaker Clarify: Machine Learning Bias Detection and
  Explainability in the Cloud
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
Michaela Hardt
Xiaoguang Chen
Xiaoyi Cheng
Michele Donini
J. Gelman
...
Muhammad Bilal Zafar
Sanjiv Ranjan Das
Kevin Haas
Tyler Hill
K. Kenthapadi
ELM
FaML
23
42
0
07 Sep 2021
Multi-objective Asynchronous Successive Halving
Multi-objective Asynchronous Successive Halving
Robin Schmucker
Michele Donini
Muhammad Bilal Zafar
David Salinas
Cédric Archambeau
29
23
0
23 Jun 2021
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free
  Optimization
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization
Valerio Perrone
Huibin Shen
Aida Zolic
I. Shcherbatyi
Amr Ahmed
...
Barbara Pogorzelska
Miroslav Miladinovic
K. Kenthapadi
Matthias Seeger
Cédric Archambeau
13
16
0
15 Dec 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
89
607
0
13 Mar 2020
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
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