auc optimization

FROC: Building Fair ROC from a Trained Classifier AAAI 2025 Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning AAAI 2025 AUC Optimization from Multiple Unlabeled Datasets AAAI 2024 AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation NeurIPS 2024 DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework NeurIPS 2023 Minimax AUC Fairness: Efficient Algorithm with Provable Convergence AAAI 2023 Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints AISTATS 2023 Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ AAAI 2023 AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems ICML 2022 Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC NeurIPS 2022 Multi-class AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data Interspeech 2022 OpenAUC: Towards AUC-Oriented Open-Set Recognition NeurIPS 2022 Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs NeurIPS 2021 AUC Optimization with a Reject Option AAAI 2020 Generalized and Scalable Optimal Sparse Decision Trees ICML 2020 Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020 Learning Only from Relevant Keywords and Unlabeled Documents EMNLP 2019 Learning Personalized Attribute Preference via Multi-Task AUC Optimization AAAI 2019 Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization IJCAI 2019 Learning Structured Models with the AUC Loss and Its Generalizations AISTATS 2014 Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NeurIPS 2014 Learning SURF Cascade for Fast and Accurate Object Detection CVPR 2013 One-Pass AUC Optimization ICML 2013 Ranking Forests JMLR 2013 Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses COLT 2013