• Awad, Noor and Mallik, Neeratyoy and Hutter, Frank (pdf)(code)(supplementary)(bib)
    DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
    In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI'21)


  • Awad, Noor and Shala, Gresa and Deng, Difan and Mallik, Neeratyoy and Feurer, Matthias and Eggensperger, Katharina and Biedenkapp, André and Vermetten, Diederick and Wang, Hao and Doerr, Carola and Lindauer, Marius and Hutter, Frank (arXiv)(code)(bib)(video presentation)
    Squirrel: A Switching Hyperparameter Optimizer Description of the entry by AutoML.org & IOHprofiler to the NeurIPS 2020 BBO challenge
    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 and Biedenkapp, André and Awad, Noor and Adriaensen, Steven and Lindauer, Marius and Hutter, Frank (pdf)(code)(poster)(bib)(project page)(blog post)(video presentation)
    Learning Step-Size Adaptation in CMA-ES
    In: Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN'20)
  • Awad, N. and Mallik, N. and Hutter, F. (pdf)(code)(poster)(bib)(video presentation)
    Differential Evolution for Neural Architecture Search
    In: Proceedings of the 1st workshop on neural architecture search(@ICLR'20)


  • Fuks, L. and Awad, N. and Hutter, F. and Lindauer, M. (pdf)(bib)
    An Evolution Strategy with Progressive Episode Lengths for Playing Games
    In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’19)
  • Franke, Jörg KH and Köhler, Gregor and Awad, Noor and Hutter, Frank (pdf)(arXiv)(bib)
    Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control
    In: NeurIPS 2019 Workshop on Meta-Learning (2019)