Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting - researchr publication authors

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Hilaf Hasson, Danielle C. Maddix, Bernie Wang 0001, Gaurav Gupta, Youngsuk Park. Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 12616-12632, PMLR, 2023. [doi]

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