surrogate loss function

FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation WACV 2024 Fusing Individualized Treatment Rules Using Secondary Outcomes AISTATS 2024 Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer NeurIPS 2024 Optimizing ROC Curves with a Sort-Based Surrogate Loss for Binary Classification and Changepoint Detection JMLR 2023 Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification ICCV 2021 When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021 When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking NeurIPS 2021 Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance IJCAI 2020 Two-temperature logistic regression based on the Tsallis divergence AISTATS 2019 beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NeurIPS 2016 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012 On the Consistency of Multi-Label Learning COLT 2011 Composite Binary Losses JMLR 2010 Statistical Consistency of Top-k Ranking NeurIPS 2009