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Neural Networks for Predicting Algorithm Runtime Distributions., , and . IJCAI, page 1442-1448. ijcai.org, (2018)πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization, , , , , and . 10th International Conference on Learning Representations, ICLR 2022, OpenReview.net, (2022)Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL, , and . IEEE Transactions on Pattern Analysis and Machine Intelligence, 43 (9): 3079 - 3090 (August 2021)Extended Abstract: Contextualize Me -- The Case for Context in Reinforcement Learning, , , , , , , , and . (Sep 15, 2023)European Workshop on Reinforcement Learning 2023 ; Conference date: 13-09-2023 Through 16-09-2023.The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities, , , , , , , , , and 43 other author(s). (2018)cite arxiv:1803.03453.MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information, , , , , and . WorkingPaper, (Dec 2, 2022)Contextualize Me -- The Case for Context in Reinforcement Learning, , , , , , , and . Arxiv Preprint, (2022)Optimizing Neural Networks for Patent Classification., , , , and . ECML/PKDD (3), volume 11908 of Lecture Notes in Computer Science, page 688-703. Springer, (2019)Convergence Analysis of Homotopy-SGD for non-convex optimization., , , , and . CoRR, (2020)Learning Heuristic Selection with Dynamic Algorithm Configuration, , , , and . Proceedings of international workshop on Bridging the Gap Between AI Planning and Reinforcement Learning at ICAPS, (June 2020)