surrogate loss

ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics AISTATS 2022 Exploring Binary Classification Hidden within Partial Label Learning IJCAI 2022 H-Consistency Bounds for Surrogate Loss Minimizers ICML 2022 Multi-Class H-Consistency Bounds NeurIPS 2022 Recall@k Surrogate Loss With Large Batches and Similarity Mixup CVPR 2022 Relational Surrogate Loss Learning ICLR 2022 Sample Efficient Learning of Predictors that Complement Humans ICML 2022 Towards Consistency in Adversarial Classification NeurIPS 2022 Beyond Bandit Feedback in Online Multiclass Classification NeurIPS 2021 Calibration and Consistency of Adversarial Surrogate Losses NeurIPS 2021 Contrastive Losses and Solution Caching for Predict-and-Optimize IJCAI 2021 Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning AISTATS 2021 NBDT: Neural-Backed Decision Tree ICLR 2021 Online Active Learning with Surrogate Loss Functions NeurIPS 2021 PiRank: Scalable Learning To Rank via Differentiable Sorting NeurIPS 2021 When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021 Approximation Schemes for ReLU Regression COLT 2020 Attribute Noise Robust Binary Classification (Student Abstract) AAAI 2020 Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class NeurIPS 2020 Calibrated Surrogate Losses for Adversarially Robust Classification COLT 2020 Consistent Estimators for Learning to Defer to an Expert ICML 2020 Efficient improper learning for online logistic regression COLT 2020 Efficiently Learning Adversarially Robust Halfspaces with Noise ICML 2020 Efficient Policy Learning from Surrogate-Loss Classification Reductions ICML 2020 Exploiting the Surrogate Gap in Online Multiclass Classification NeurIPS 2020