conftrace_

surrogate loss

94 papers

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Co-occurring keywords

binary classification (678) regret bound (1926) multiclass classification (181) convex optimization (1321) loss function (462) surrogate loss function (11) multi-class classification (280) consistency bound (7) learning to defer (17) online learning (1777)

Papers

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework CVPR 2025
Locally Convex Global Loss Network for Decision-Focused Learning AAAI 2025
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction NIPS 2024
Decision-Focused Learning with Directional Gradients NIPS 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention AISTATS 2024
Cardinality-Aware Set Prediction and Top-$k$ Classification NIPS 2024
Multi-Label Learning with Stronger Consistency Guarantees NIPS 2024
Universal Online Convex Optimization with $1$ Projection per Round NIPS 2024
Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification NIPS 2024
When No-Rejection Learning is Consistent for Regression with Rejection AISTATS 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses NIPS 2024
Consistent Hierarchical Classification with A Generalized Metric AISTATS 2024
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer NIPS 2024
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms ALT 2024
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation WACV 2024
Fusing Individualized Treatment Rules Using Secondary Outcomes AISTATS 2024
Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ AAAI 2023
Towards Understanding Generalization of Macro-AUC in Multi-label Learning ICML 2023
Optimizing ROC Curves with a Sort-Based Surrogate Loss for Binary Classification and Changepoint Detection JMLR 2023
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts ICML 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles AISTATS 2023
Two-Stage Learning to Defer with Multiple Experts NIPS 2023
$H$-Consistency Bounds: Characterization and Extensions NIPS 2023