{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T14:53:00Z","timestamp":1768315980711,"version":"3.49.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T00:00:00Z","timestamp":1765238400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T00:00:00Z","timestamp":1765238400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,9]]},"DOI":"10.1109\/cdc57313.2025.11312940","type":"proceedings-article","created":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T18:19:56Z","timestamp":1768241996000},"page":"4578-4585","source":"Crossref","is-referenced-by-count":0,"title":["A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control"],"prefix":"10.1109","author":[{"given":"Sebastian","family":"Hirt","sequence":"first","affiliation":[{"name":"Technical University of Darmstadt,Control and Cyber-Physical Systems Laboratory,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lukas","family":"Theiner","sequence":"additional","affiliation":[{"name":"Technical University of Darmstadt,Control and Cyber-Physical Systems Laboratory,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maik","family":"Pfefferkorn","sequence":"additional","affiliation":[{"name":"Technical University of Darmstadt,Control and Cyber-Physical Systems Laboratory,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rolf","family":"Findeisen","sequence":"additional","affiliation":[{"name":"Technical University of Darmstadt,Control and Cyber-Physical Systems Laboratory,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Model Predictive Control: Theory, Computation, and Design","author":"Rawlings","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.23919\/ACC55779.2023.10156412"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2023.10.548"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CDC56724.2024.10886624"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2024.09.032"},{"key":"ref6","article-title":"Time-series-informed closed-loop learning for sequential decision making control","author":"Hirt","year":"2024"},{"key":"ref7","article-title":"Multi-task Bayesian optimization via Gaussian process upper confidence bound","volume-title":"2020 ICML Workshop on Real World Experiment Design and Active Learning","author":"Dai"},{"key":"ref8","article-title":"Multi-Task Bayesian Optimization","volume":"26","author":"Swersky","year":"2013","journal-title":"2013 Adv. Neural Inf. Process. Syst."},{"key":"ref9","article-title":"Transfer learning for Bayesian optimization: A survey","author":"Bai","year":"2023"},{"key":"ref10","article-title":"Bayesian optimization with lower confidence bounds for minimization problems with known outer structure","author":"Baumg\u00e4rtner","year":"2025"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2022.107700"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WSC52266.2021.9715343"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2182033"},{"key":"ref14","first-page":"1873","article-title":"No-regret Algorithms for Multi-task Bayesian Optimization","volume-title":"2021 Int. Conf. Artif. Intell. Stat","author":"Chowdhury"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.52202\/079017-2323"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2022.3179330"},{"key":"ref18","first-page":"844","article-title":"On kernelized multi-armed bandits","volume-title":"2017 Int. Conf. Mach. Learn","author":"Chowdhury"},{"key":"ref19","article-title":"Gaussian process uniform error bounds with unknown hyperparameters for safety-critical applications","volume-title":"2022 Int. Conf. Mach. Learn","author":"Capone"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16912"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-77242-4","volume-title":"Support Vector Machines. Information Science and Statistics","author":"Steinwart","year":"2008"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2019.2949757"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46024-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/BF02055196"}],"event":{"name":"2025 IEEE 64th Conference on Decision and Control (CDC)","location":"Rio de Janeiro, Brazil","start":{"date-parts":[[2025,12,9]]},"end":{"date-parts":[[2025,12,12]]}},"container-title":["2025 IEEE 64th Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11311984\/11311968\/11312940.pdf?arnumber=11312940","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T09:06:20Z","timestamp":1768295180000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11312940\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,9]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/cdc57313.2025.11312940","relation":{},"subject":[],"published":{"date-parts":[[2025,12,9]]}}}