AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret 事件

AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret arXiv:2606.02663v1 Announce Type: cross Abstract: Recent advances in machine learning have produced probabilistic weather forecasting models comparable to state-of-the-art numerical weather predictors. But no model consistently dominates spatio-temporally, and relative performance is highly context-dependent. This motivates adaptive methods for combining multiple forecasts to obtain improvements and robustness