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Postdoctoral Research Fellow

Noor Awad

Postal address
Institut für Informatik
Albert-Ludwigs-Universität Freiburg
Sekretariat Hutter/Maschinelles Lernen
Georges-Köhler-Allee 074
79110 Freiburg, Germany
Fax
+49 761 203-74217
Office
Building 74, Room 00-012
GoogleScholarMarker

About

Since Dec 2018 I have been a postdoctoral research fellow at the machine learning group under the supervision of Frank Hutter. Before that I completed my PhD degree in computer engineering from Nanyang Technological University.

Research Interests

I am interested in all facets of evolutionary computation. My research focuses on how to use evolutionary algorithms to solve optimization problems and many real-world applications. More precisely my research areas include:

  • Numerical Optimization
  • Hyperparameter Optimization
  • Meta Learning
  • Automated Machine Learning
  • Fairnes in ML

Publications

2024

Ndir, Tidiane Camaret; Biedenkapp, André; Awad, Noor

Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning Inproceedings Forthcoming

In: Seventeenth European Workshop on Reinforcement Learning, Forthcoming.

Bordne, Philipp; Hasan, M. Asif; Bergman, Eddie; Awad, Noor; Biedenkapp, André

CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Robertson, Jake; Hollmann, Noah; Awad, Noor; Hutter, Frank

FairPFN: Transformers Can do Counterfactual Fairness Conference

Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

2023

Watanabe, Shuhei; Awad, Noor; Onishi, Masaki; Hutter, Frank

Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator Inproceedings

In: Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI'23), 2023.

Awad, Noor; Sharma, Ayushi; Müller, Philipp; Thomas, Janek; Hutter, Frank

MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization Online

2023, visited: 09.05.2023.

Weerts, Hilde; Pfisterer, Florian; Feurer, Matthias; Eggensperger, Katharina; Bergman, Edward; Awad, Noor; Vanschoren, Joaquin; Pechenizkiy, Mykola; Bischl, Bernd; Hutter, Frank

Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Journal Article

In: arXiv:2303.08485 [cs.AI], 2023.

2022

Adriaensen, Steven; Biedenkapp, André; Shala, Gresa; Awad, Noor; Eimer, Theresa; Lindauer, Marius; Hutter, Frank

Automated Dynamic Algorithm Configuration Journal Article

In: Journal of Artificial Intelligence Research (JAIR), vol. 75, pp. 1633-1699, 2022.

Watanabe, Shuhei; Awad, Noor; Onishi, Masaki; Hutter, Frank

Multi-objective Tree-structured Parzen Estimator Meets Meta-learning Inproceedings

In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022.

2021

Eggensperger, Katharina; Müller, Philipp; Mallik, Neeratyoy; Feurer, Matthias; Sass, René; Klein, Aaron; Awad, Noor; Lindauer, Marius; Hutter, Frank

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Inproceedings

In: Vanschoren, J.; Yeung, S. (Ed.): Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 2021.

Awad, Noor; Mallik, Neeratyoy; Hutter, Frank

DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization Inproceedings

In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI'21), ijcai.org, 2021.

2020

Awad, Noor; Shala, Gresa; Deng, Difan; Mallik, Neeratyoy; Feurer, Matthias; Eggensperger, Katharina; Biedenkapp, André; Vermetten, Diederick; Wang, Hao; Doerr, Carola; Lindauer, Marius; Hutter, Frank

Squirrel: A Switching Hyperparameter Optimizer Description of the entry by AutoML.org & IOHprofiler to the NeurIPS 2020 BBO challenge Journal Article

In: arXiv:2012.08180 [cs.LG], 2020, (Optimizer description for the NeurIPS 2020 BBO competition. Squirrel won the competition´s warm-starting friendly leaderboard.).

Shala, Gresa; Biedenkapp, André; Awad, Noor; Adriaensen, Steven; Lindauer, Marius; Hutter, Frank

Learning Step-Size Adaptation in CMA-ES Inproceedings

In: Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN'20), 2020.

Awad, N; Mallik, N; Hutter, F

Differential Evolution for Neural Architecture Search Inproceedings

In: Proceedings of the 1st workshop on neural architecture search(@ICLR'20), 2020.

2019

Fuks, L; Awad, N; Hutter, F; Lindauer, M

An Evolution Strategy with Progressive Episode Lengths for Playing Games Inproceedings

In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’19), 2019.

Franke, Jörg KH; Köhler, Gregor; Awad, Noor; Hutter, Frank

Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control Journal Article

In: NeurIPS 2019 Workshop on Meta-Learning, 2019.