From post

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Neural forecasting: Introduction and literature overview., , , , , , , , , и 2 other автор(ы). CoRR, (2020)Deep State Space Models for Time Series Forecasting., , , , , и . NeurIPS, стр. 7796-7805. (2018)Multivariate Quantile Function Forecaster., , , , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 10603-10621. PMLR, (2022)GluonTS: Probabilistic and Neural Time Series Modeling in Python., , , , , , , , , и 3 other автор(ы). J. Mach. Learn. Res., (2020)Forecasting Big Time Series: Theory and Practice., , , , и . KDD, стр. 3209-3210. ACM, (2019)Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale., , , , , , и . CoRR, (2017)Forecasting: theory and practice., , , , , , , , , и 35 other автор(ы). CoRR, (2020)Normalizing Kalman Filters for Multivariate Time Series Analysis., , , , , , , , и . NeurIPS, (2020)End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series., , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8832-8843. PMLR, (2021)A Simple and Effective Predictive Resource Scaling Heuristic for Large-scale Cloud Applications., , , , и . AIDB@VLDB, (2020)