With the emergence of large-scale data, there is a massive surge in machine learning (ML) applications. In many, uncertainty calibration and interpretability of ML predictions are crucial. Gaussian processes (GPs) allow...
With the emergence of large-scale data, there is a massive surge in machine learning (ML) applications. In many, uncertainty calibration and interpretability of ML predictions are crucial. Gaussian processes (GPs) allow...