Efficient Bayesian Learning Curve Extrapolation using PFNs AutoML has revolutionized the field of machine learning by automating the process of model selection, hyperparameter tuning, and feature engineering. It has made it more accessible for non-experts to leverage the power of machine learning in their applications. However, one of the challenges in AutoML is the computational … Continue reading LC-PFN