| DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization N Awad, N Mallik, F Hutter Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 99 | 2021 |
| Openml-python: an extensible python api for openml M Feurer, JN Van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Müller, ... Journal of Machine Learning Research 22 (100), 1-5, 2021 | 94 | 2021 |
| HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO K Eggensperger, P Müller, N Mallik, M Feurer, R Sass, A Klein, N Awad, ... NeurIPS 2021 Track Datasets and Benchmarks, 2021 | 90 | 2021 |
| Differential Evolution for Neural Architecture Search N Awad, N Mallik, F Hutter Proceedings of the 1st workshop on neural architecture search@ICLR '20, 2020 | 43 | 2020 |
| PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning N Mallik, E Bergman, C Hvarfner, D Stoll, M Janowski, M Lindauer, ... Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 14 | 2023 |
| Interactive information crowdsourcing for disaster management using SMS and Twitter: A research prototype A Das, N Mallik, S Bandyopadhyay, SD Bit, J Basak 2016 IEEE International Conference on Pervasive Computing and Communication …, 2016 | 14 | 2016 |
| Squirrel: a switching hyperparameter optimizer N Awad, G Shala, D Deng, N Mallik, M Feurer, K Eggensperger, ... arXiv preprint arXiv:2012.08180, 2020 | 5 | 2020 |
| Openml-python: an extensible python api for openml. arXiv, 1911.02490, 2019 M Feurer, JN van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Mueller, ... URL https://arxiv. org/pdf/1911.02490. pdf, 2019 | 5 | 2019 |
| In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization H Rakotoarison, S Adriaensen, N Mallik, S Garibov, E Bergman, F Hutter Forty-first International Conference on Machine Learning, 2024 | 4 | 2024 |
| PriorBand: HyperBand + Human Expert Knowledge N Mallik, C Hvarfner, D Stoll, M Janowski, E Bergman, M Lindauer, ... Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022 | 2 | 2022 |
| LMEMs for post-hoc analysis of HPO Benchmarking A Geburek, N Mallik, D Stoll, X Bouthillier, F Hutter AutoML Conference 2024 (Workshop Track), 2024 | | 2024 |
| Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks S Watanabe, N Mallik, E Bergman, F Hutter AutoML Conference 2024 (ABCD Track), 2024 | | 2024 |
Frank HutterELLIS Institute & Professor, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
