surrogate loss

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning ICML 2024 Towards Calibrated Losses for Adversarial Robust Reject Option Classification ACML 2024 Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification NeurIPS 2024 Universal Online Convex Optimization with $1$ Projection per Round NeurIPS 2024 When No-Rejection Learning is Consistent for Regression with Rejection AISTATS 2024 H-Consistency Bounds: Characterization and Extensions NeurIPS 2023 A Case of Exponential Convergence Rates for SVM AISTATS 2023 Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023 DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework NeurIPS 2023 In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer NeurIPS 2023 Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles AISTATS 2023 On Classification-Calibration of Gamma-Phi Losses COLT 2023 Optimizing ROC Curves with a Sort-Based Surrogate Loss for Binary Classification and Changepoint Detection JMLR 2023 Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds COLT 2023 Regression with Cost-based Rejection NeurIPS 2023 Structured Prediction with Stronger Consistency Guarantees NeurIPS 2023 The Adversarial Consistency of Surrogate Risks for Binary Classification NeurIPS 2023 Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness AISTATS 2023 Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ AAAI 2023 Towards Understanding Generalization of Macro-AUC in Multi-label Learning ICML 2023 Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts ICML 2023 Two-Stage Learning to Defer with Multiple Experts NeurIPS 2023 Calibrated Learning to Defer with One-vs-All Classifiers ICML 2022 Conditionally Gaussian PAC-Bayes AISTATS 2022 Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses NeurIPS 2022