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Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms

, , , and . Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, page 847--855. ACM, (2013)

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An Evolution Strategy with Progressive Episode Lengths for Playing Games., , , and . IJCAI, page 1234-1240. ijcai.org, (2019)Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL, , and . arxiv:2006.13799cs.LG, (June 2020)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , and 15 other author(s). HAL, (September 2020)Simple and efficient architecture search for Convolutional Neural Networks., , and . ICLR (Workshop), OpenReview.net, (2018)Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA., , , , and . J. Mach. Learn. Res., (2017)NAS-Bench-101: Towards Reproducible Neural Architecture Search., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7105-7114. PMLR, (2019)Transferring Optimality Across Data Distributions via Homotopy Methods, , , , and . International Conference on Learning Representations, (2020)Hyperparameter Importance Across Datasets., and . CoRR, (2017)A Kernel for Hierarchical Parameter Spaces., and . CoRR, (2013)Warmstarting of Model-based Algorithm Configuration., and . CoRR, (2017)