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Deep Learning for Time Series Forecasting: Tutorial and Literature Survey., , , , , , , , , and 3 other author(s). ACM Comput. Surv., 55 (6): 121:1-121:36 (2023)Meta-Forecasting by combining Global Deep Representations with Local Adaptation., , , , , and . CoRR, (2021)A resource-efficient method for repeated HPO and NAS problems., , and . CoRR, (2021)GluonTS: Probabilistic Time Series Models in Python., , , , , , , , , and 3 other author(s). CoRR, (2019)Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation., , , , and . CoRR, (2023)Multi-Objective Model Selection for Time Series Forecasting., , , , and . CoRR, (2022)Deep Non-Parametric Time Series Forecaster., , , , , , and . CoRR, (2023)Optimizing Hyperparameters with Conformal Quantile Regression., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29876-29893. PMLR, (2023)Probabilistic Forecasting with Spline Quantile Function RNNs., , , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1901-1910. PMLR, (2019)Elastic Machine Learning Algorithms in Amazon SageMaker., , , , , , , , , and 14 other author(s). SIGMOD Conference, page 731-737. ACM, (2020)