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Optimization Methods for Financial Index Tracking: From Theory to Practice., , and . Found. Trends Optim., 3 (3): 171-279 (2018)Probabilistic Forecasting with Spline Quantile Function RNNs., , , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1901-1910. PMLR, (2019)Normalizing Kalman Filters for Multivariate Time Series Analysis., , , , , , , , and . NeurIPS, (2020)End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8832-8843. PMLR, (2021)Solving Recurrent MIPs with Semi-supervised Graph Neural Networks., , , , and . CoRR, (2023)Orthogonal sparse eigenvectors: A procrustes problem., , , and . ICASSP, page 4683-4686. IEEE, (2016)Middle-mile optimization for next-day delivery., , , and . CoRR, (2023)Deep Explicit Duration Switching Models for Time Series., , , , , , , and . NeurIPS, page 29949-29961. (2021)A Flexible Forecasting Stack., , , , , , , , , and 3 other author(s). Proc. VLDB Endow., 17 (12): 3883-3892 (August 2024)Neural forecasting: Introduction and literature overview., , , , , , , , , and 2 other author(s). CoRR, (2020)