158 citations
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stat.ML2025
Variable transformations in consistent loss functions
Hristos Tyralis, Georgia Papacharalampous
The empirical use of variable transformations within (strictly) consistent loss functions is widespread, yet a theoretical understanding is lacking. To address this gap, we develop…
stat.ML2022★ 158 cited
A review of predictive uncertainty estimation with machine learning
Hristos Tyralis, Georgia Papacharalampous
Predictions and forecasts of machine learning models should take the form of probability distributions, aiming to increase the quantity of information communicated to end users. Al…
stat.ML2019★ 150 cited
Super ensemble learning for daily streamflow forecasting: Large-scale demonstration and comparison with multiple machine learning algorithms
Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis
Daily streamflow forecasting through data-driven approaches is traditionally performed using a single machine learning algorithm. Existing applications are mostly restricted to exa…