{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:09:45Z","timestamp":1750219785300,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T00:00:00Z","timestamp":1689379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,15]]},"DOI":"10.1145\/3583133.3590743","type":"proceedings-article","created":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T23:30:33Z","timestamp":1690241433000},"page":"759-762","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Minimizing Black Boxes due to Polynomial-Model-Based Optimization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8692-0822","authenticated-orcid":false,"given":"Janina","family":"Schreiber","sequence":"first","affiliation":[{"name":"CASUS ? Center for Advanced Systems Understanding Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR), G\u00f6rlitz, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8587-7730","authenticated-orcid":false,"given":"Damar","family":"Wicaksono","sequence":"additional","affiliation":[{"name":"CASUS ? Center for Advanced Systems Understanding Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR), G\u00f6rlitz, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9214-8253","authenticated-orcid":false,"given":"Michael","family":"Hecht","sequence":"additional","affiliation":[{"name":"Mathematical Foundations of Complex System Science, CASUS - Center for Advanced Systems Understanding Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR), G\u00f6rlitz, Germany"}]}],"member":"320","published-online":{"date-parts":[[2023,7,24]]},"reference":[{"unstructured":"U. H. Acosta S. K. T. Veettil D. Wicaksono and M. Hecht. 2021. minterpy - Multivariate Interpolation in Python. https:\/\/github.com\/casus\/minterpy (2021).  U. H. Acosta S. K. T. Veettil D. Wicaksono and M. Hecht. 2021. minterpy - Multivariate Interpolation in Python. https:\/\/github.com\/casus\/minterpy (2021).","key":"e_1_3_2_1_1_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.5555\/2188385.2188395"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_3_1","DOI":"10.1214\/aos\/1176344552"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.5555\/2503308.2503311"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1016\/0315-0860(74)90034-2"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.1080\/10556788.2020.1808977"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.1162\/106365603321828970"},{"unstructured":"M. Hecht B. L. Cheeseman K. B. Hoffmann and I. F. Sbalzarini. 2017. A Quadratic-Time Algorithm for General Multivariate Polynomial Interpolation. arXiv preprint arXiv:1710.10846 (2017).  M. Hecht B. L. Cheeseman K. B. Hoffmann and I. F. Sbalzarini. 2017. A Quadratic-Time Algorithm for General Multivariate Polynomial Interpolation. arXiv preprint arXiv:1710.10846 (2017).","key":"e_1_3_2_1_8_1"},{"key":"e_1_3_2_1_9_1","volume-title":"Multivariate Interpolation in Unisolvent Nodes-Lifting the Curse of Dimensionality. arXiv preprint arXiv:2010.10824","author":"Hecht M.","year":"2020","unstructured":"M. Hecht , K. Gonciarz , J. Michelfeit , V. Sivkin , and I. F Sbalzarini . 2020. Multivariate Interpolation in Unisolvent Nodes-Lifting the Curse of Dimensionality. arXiv preprint arXiv:2010.10824 ( 2020 ). M. Hecht, K. Gonciarz, J. Michelfeit, V. Sivkin, and I. F Sbalzarini. 2020. Multivariate Interpolation in Unisolvent Nodes-Lifting the Curse of Dimensionality. arXiv preprint arXiv:2010.10824 (2020)."},{"key":"e_1_3_2_1_10_1","volume-title":"Multivariate Interpolation on Unisolvent Nodes-Lifting the Curse of Dimensionality. arXiv preprint arXiv:2010.10824","author":"Hecht M.","year":"2020","unstructured":"M. Hecht , K. Gonciarz , J. Michelfeit , V. Sivkin , and I. F Sbalzarini . 2020. Multivariate Interpolation on Unisolvent Nodes-Lifting the Curse of Dimensionality. arXiv preprint arXiv:2010.10824 ( 2020 ). M. Hecht, K. Gonciarz, J. Michelfeit, V. Sivkin, and I. F Sbalzarini. 2020. Multivariate Interpolation on Unisolvent Nodes-Lifting the Curse of Dimensionality. arXiv preprint arXiv:2010.10824 (2020)."},{"key":"e_1_3_2_1_11_1","volume-title":"Multivariate Newton Interpolation. arXiv preprint arXiv:1812.04256","author":"Hecht M.","year":"2018","unstructured":"M. Hecht , K. B. Hoffmann , B. L Cheeseman , and I. F Sbalzarini . 2018. Multivariate Newton Interpolation. arXiv preprint arXiv:1812.04256 ( 2018 ). M. Hecht, K. B. Hoffmann, B. L Cheeseman, and I. F Sbalzarini. 2018. Multivariate Newton Interpolation. arXiv preprint arXiv:1812.04256 (2018)."},{"key":"e_1_3_2_1_12_1","volume-title":"Fast Interpolation and Fourier Transform in High-Dimensional Spaces. In Intelligent Computing. Proc. 2018 IEEE Computing Conf.","volume":"2","author":"Hecht M.","unstructured":"M. Hecht and I. F. Sbalzarini . 2018 . Fast Interpolation and Fourier Transform in High-Dimensional Spaces. In Intelligent Computing. Proc. 2018 IEEE Computing Conf. , Vol. 2 , (Advances in Intelligent Systems and Computing , Vol. 857), K. Arai, S. Kapoor, and R. Bhatia (Eds.). Springer Nature, London, UK, 53--75. M. Hecht and I. F. Sbalzarini. 2018. Fast Interpolation and Fourier Transform in High-Dimensional Spaces. In Intelligent Computing. Proc. 2018 IEEE Computing Conf., Vol. 2, (Advances in Intelligent Systems and Computing, Vol. 857), K. Arai, S. Kapoor, and R. Bhatia (Eds.). Springer Nature, London, UK, 53--75."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1038\/SCIENTIFICAMERICAN0792-66"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1504\/IJMMNO.2013.055204"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1007\/978-3-030-86334-0_38"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1023\/A:1008306431147"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1007\/978-1-4899-7687-1_630"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_18_1","DOI":"10.1093\/BIOINFORMATICS\/BTY766"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1109\/5.993400"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.1101\/573972"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1186\/S12859-018-2510-X"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.3389\/FMOLB.2022.836794"},{"unstructured":"J. Snoek H. Larochelle and R. P. Adams. 2012. Practical Bayesian optimization of machine learning algorithms. Advances in neural information processing systems (2012) 2951--2959.  J. Snoek H. Larochelle and R. P. Adams. 2012. Practical Bayesian optimization of machine learning algorithms. Advances in neural information processing systems (2012) 2951--2959.","key":"e_1_3_2_1_23_1"},{"unstructured":"S. X. Souza J. A. K. Suykens J. Vandewalle and D. Bolle. 2009. Coupled Simulated Annealing. (2009).  S. X. Souza J. A. K. Suykens J. Vandewalle and D. Bolle. 2009. Coupled Simulated Annealing. (2009).","key":"e_1_3_2_1_24_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.1016\/0315-0860(74)90033-0"},{"unstructured":"S. K T. Veettil Y. Zheng U. H. Acosta D. Wicaksono and M. Hecht. 2022. Multivariate Polynomial Regression of Euclidean Degree Extends the Stability for Fast Approximations of Trefethen Functions. arXiv preprint arXiv:2212.11706 (2022).  S. K T. Veettil Y. Zheng U. H. Acosta D. Wicaksono and M. Hecht. 2022. Multivariate Polynomial Regression of Euclidean Degree Extends the Stability for Fast Approximations of Trefethen Functions. arXiv preprint arXiv:2212.11706 (2022).","key":"e_1_3_2_1_26_1"},{"key":"e_1_3_2_1_27_1","volume-title":"Hyppopy: A Hyper-Parameter Optimization Toolbox.","author":"Wanner S.","year":"2021","unstructured":"S. Wanner . 2021 . Hyppopy: A Hyper-Parameter Optimization Toolbox. (2021). https:\/\/github.com\/MIC-DKFZ\/Hyppopy S. Wanner. 2021. Hyppopy: A Hyper-Parameter Optimization Toolbox. (2021). https:\/\/github.com\/MIC-DKFZ\/Hyppopy"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_28_1","DOI":"10.1109\/4235.585893"}],"event":{"sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"acronym":"GECCO '23 Companion","name":"GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation","location":"Lisbon Portugal"},"container-title":["Proceedings of the Companion Conference on Genetic and Evolutionary Computation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583133.3590743","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583133.3590743","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:50Z","timestamp":1750178270000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583133.3590743"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,15]]},"references-count":28,"alternative-id":["10.1145\/3583133.3590743","10.1145\/3583133"],"URL":"https:\/\/doi.org\/10.1145\/3583133.3590743","relation":{},"subject":[],"published":{"date-parts":[[2023,7,15]]},"assertion":[{"value":"2023-07-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}