 Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two FormulationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 |
 Cost-Sensitive Self-Training for Optimizing Non-Decomposable MetricsNeural Information Processing Systems (NeurIPS), 2023 |
 Asymptotically Unbiased Instance-wise Regularized Partial AUC
Optimization: Theory and AlgorithmNeural Information Processing Systems (NeurIPS), 2022 |
 Rank-based Decomposable Losses in Machine Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 |
 Optimizing Two-way Partial AUC with an End-to-end FrameworkIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 |
 AUC Maximization in the Era of Big Data and AI: A SurveyACM Computing Surveys (ACM CSUR), 2022 |
 Training Over-parameterized Models with Non-decomposable ObjectivesNeural Information Processing Systems (NeurIPS), 2021 |
