2 papers
cs.LG2019
Master your Metrics with Calibration
Wissam Siblini, Jordan Fréry, Liyun He-Guelton +2
Machine learning models deployed in real-world applications are often evaluated with precision-based metrics such as F1-score or AUC-PR (Area Under the Curve of Precision Recall).…
stat.ML2018
Adversarial confidence and smoothness regularizations for scalable unsupervised discriminative learning
Yi-Qing Wang
In this paper, we consider a generic probabilistic discriminative learner from the functional viewpoint and argue that, to make it learn well, it is necessary to constrain its hypo…