2024
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Shala, Gresa; Biedenkapp, André; Grabocka, Josif Hierarchical Transformers are Efficient Meta-Reinforcement Learners Journal Article In: arXiv:2402.06402 [cs.LG], 2024. @article{shala-arxiv24a,
title = {Hierarchical Transformers are Efficient Meta-Reinforcement Learners},
author = {Gresa Shala and André Biedenkapp and Josif Grabocka},
year = {2024},
journal = {arXiv:2402.06402 [cs.LG]},
keywords = {}
}
|
2023
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Shala, Gresa; Elsken, Thomas; Hutter, Frank; Grabocka, Josif Transfer NAS with Meta-learned Bayesian Surrogates Inproceedings In: The Eleventh International Conference on Learning Representations, 2023, (top 5% of accepted papers). @inproceedings{shala2023transfer,
title = {Transfer NAS with Meta-learned Bayesian Surrogates},
author = {Gresa Shala and Thomas Elsken and Frank Hutter and Josif Grabocka},
year = {2023},
booktitle = {The Eleventh International Conference on Learning Representations},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Hutter, Frank; Grabocka, Josif Gray-Box Gaussian Processes for Automated Reinforcement Learning Inproceedings In: Eleventh International Conference on Learning Representations (ICLR'23), 2023. @inproceedings{shala-iclr23a,
title = {Gray-Box Gaussian Processes for Automated Reinforcement Learning},
author = {Gresa Shala and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2023},
booktitle = {Eleventh International Conference on Learning Representations (ICLR'23)},
keywords = {}
}
|
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. @article{adriaens-arxiv22a,
title = {Automated Dynamic Algorithm Configuration},
author = {Steven Adriaensen and André Biedenkapp and Gresa Shala and Noor Awad and Theresa Eimer and Marius Lindauer and Frank Hutter},
doi = {10.1613/jair.1.13922 },
year = {2022},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {75},
pages = {1633-1699},
keywords = {}
}
|
Shala, Gresa; Biedenkapp, André; Hutter, Frank; Grabocka, Josif Gray-Box Gaussian Processes for Automated Reinforcement Learning Inproceedings In: Workshop on Meta-Learning (MetaLearn@NeurIPS'22), 2022. @inproceedings{shala-metalearn22b,
title = {Gray-Box Gaussian Processes for Automated Reinforcement Learning},
author = {Gresa Shala and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Workshop on Meta-Learning (MetaLearn@NeurIPS'22)},
keywords = {}
}
|
Shala, Gresa; Arango, Sebastian Pineda; Biedenkapp, André; Hutter, Frank; Grabocka, Josif AutoRL-Bench 1.0 Inproceedings In: Workshop on Meta-Learning (MetaLearn@NeurIPS'22), 2022. @inproceedings{shala-metalearn22a,
title = {AutoRL-Bench 1.0},
author = {Gresa Shala and Sebastian Pineda Arango and André Biedenkapp and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Workshop on Meta-Learning (MetaLearn@NeurIPS'22)},
keywords = {}
}
|
Shala, Gresa; Elsken, Thomas; Hutter, Frank; Grabocka, Josif Transfer NAS with Meta-learned Bayesian Surrogates Inproceedings In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022. @inproceedings{shala2022transfer,
title = {Transfer NAS with Meta-learned Bayesian Surrogates},
author = {Gresa Shala and Thomas Elsken and Frank Hutter and Josif Grabocka},
year = {2022},
booktitle = {Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems},
keywords = {}
}
|
2020
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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.). @article{awad-arxiv20a,
title = {Squirrel: A Switching Hyperparameter Optimizer Description of the entry by AutoML.org & IOHprofiler to the NeurIPS 2020 BBO challenge},
author = {Noor Awad and Gresa Shala and Difan Deng and Neeratyoy Mallik and Matthias Feurer and Katharina Eggensperger and André Biedenkapp and Diederick Vermetten and Hao Wang and Carola Doerr and Marius Lindauer and Frank Hutter},
year = {2020},
journal = {arXiv:2012.08180 [cs.LG]},
keywords = {}
}
|
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. @inproceedings{shala-ppsn20,
title = {Learning Step-Size Adaptation in CMA-ES},
author = {Gresa Shala and André Biedenkapp and Noor Awad and Steven Adriaensen and Marius Lindauer and Frank Hutter},
year = {2020},
booktitle = {Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN'20)},
keywords = {}
}
|
