Neyman-Pearson classification

The 'Neyman-Pearson classification' dataset/benchmark is used to evaluate the performance of classification algorithms based on their ability to control the trade-off between true positive and false positive rates under specific constraints.

Papers using Neyman-Pearson classification (2)

First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints2026FedSGM: A Unified Framework for Constraint Aware, Bidirectionally Compressed, Multi-Step Federated Optimization2026