Stochastic gradient Langevin dynamics (SGLD) is a robust and scalable technique utilized in Monte Carlo simulation 1 and non-convex optimization 2 within the realm of big data. It employs an energy ...
AUC (area under the ROC curve) is an essential metric that has been extensively researched in the field of machine learning. Traditional AUC optimization methods need a large-scale clean dataset, ...