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Edward Bergman
Researcher, Albert-Ludwigs-Universität Freiburg
Joined
May 2021
Names
Edward Bergman
(Preferred)
,
Eddie Bergman
Emails
****@gmail.com
(Confirmed)
Personal Links
Homepage
LinkedIn
Career & Education History
Researcher
Albert-Ludwigs-Universität Freiburg
(uni-freiburg.de)
2021
–
Present
PhD student
University of Siegen
(uni-siegen.de)
2020
–
2021
Undergrad student
Trinity College, Dublin
(tcd.ie)
2015
–
2019
Advisors, Relations & Conflicts
Coauthor
Marius Lindauer
2021
–
Present
PhD Advisor
Frank Hutter
2021
–
Present
Coauthor
Neeratyoy Mallik
2021
–
Present
Coauthor
Matthias Feurer
2021
–
Present
Coauthor
Katharina Eggensperger
2021
–
Present
Coauthor
Noor Awad
2021
–
Present
Coauthor
Rene Sass
2021
–
2022
PhD Advisor
Joeran Beel
2020
–
2021
Coworker
Nathan Buskulic
2020
–
2021
Expertise
HPO
2021
–
Present
Automated Machine Learning
2019
–
Present
Deep learning
2019
–
Present
Publications
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Hilde Jacoba Petronella Weerts
,
Florian Pfisterer
,
Matthias Feurer
,
Katharina Eggensperger
,
Edward Bergman
,
Noor Awad
,
Joaquin Vanschoren
,
Mykola Pechenizkiy
,
Bernd Bischl
,
Frank Hutter
AutoML 2024 Journal Track
Readers:
Everyone
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
Herilalaina Rakotoarison
,
Steven Adriaensen
,
Neeratyoy Mallik
,
Samir Garibov
,
Edward Bergman
,
Frank Hutter
AutoML 2024 Workshop
Readers:
Everyone
CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC
Philipp Bordne
,
M Asif Hasan
,
Edward Bergman
,
Noor Awad
,
André Biedenkapp
AutoML 2024 Workshop
Readers:
Everyone
Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks
Shuhei Watanabe
,
Neeratyoy Mallik
,
Edward Bergman
,
Frank Hutter
AutoML 2024 (ABCD Track)
Readers:
Everyone
Don't Waste Your Time: Early Stopping Cross-Validation
Edward Bergman
,
Lennart Purucker
,
Frank Hutter
AutoML 2024
Readers:
Everyone
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
Herilalaina Rakotoarison
,
Steven Adriaensen
,
Neeratyoy Mallik
,
Samir Garibov
,
Eddie Bergman
,
Frank Hutter
ICML 2024 Poster
Readers:
Everyone
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
Neeratyoy Mallik
,
Eddie Bergman
,
Carl Hvarfner
,
Danny Stoll
,
Maciej Janowski
,
Marius Lindauer
,
Luigi Nardi
,
Frank Hutter
NeurIPS 2023 poster
Readers:
Everyone
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Hilde J. P. Weerts
,
Florian Pfisterer
,
Matthias Feurer
,
Katharina Eggensperger
,
Edward Bergman
,
Noor H. Awad
,
Joaquin Vanschoren
,
Mykola Pechenizkiy
,
Bernd Bischl
,
Frank Hutter
Published: 01 Jan 2023, Last Modified: 11 May 2023
CoRR 2023
Readers:
Everyone
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives
Matthias Feurer
,
Katharina Eggensperger
,
Edward Bergman
,
Florian Pfisterer
,
Bernd Bischl
,
Frank Hutter
Published: 01 Jan 2023, Last Modified: 11 May 2023
IDA 2023
Readers:
Everyone
PriorBand: HyperBand + Human Expert Knowledge
Neeratyoy Mallik
,
Carl Hvarfner
,
Danny Stoll
,
Maciej Janowski
,
Eddie Bergman
,
Marius Lindauer
,
Luigi Nardi
,
Frank Hutter
Published: 21 Oct 2022, Last Modified: 05 May 2023
NeurIPS 2022 Workshop MetaLearn Poster
Readers:
Everyone
View all 12 publications
Co-Authors
Andrew Collins
André Biedenkapp
Bernd Bischl
Bryan Tyrell
Carl Hvarfner
Danny Stoll
Florian Pfisterer
Frank Hutter
Herilalaina Rakotoarison
Hilde J. P. Weerts
Hilde Jacoba Petronella Weerts
Joaquin Vanschoren
Joeran Beel
Katharina Eggensperger
Lennart Purucker
Luigi Nardi
M Asif Hasan
Maciej Janowski
Marius Lindauer
Matthias Feurer
Mykola Pechenizkiy
Neeratyoy Mallik
Noor Awad
Noor H. Awad
Philipp Bordne
View all 29 co-authors