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Loss Functions

1,162 papers

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Papers

Learning with Symmetric Label Noise: The Importance of Being Unhinged NIPS 2015
On the Accuracy of Self-Normalized Log-Linear Models NIPS 2015
Calibrated Structured Prediction NIPS 2015
Regularization Path of Cross-Validation Error Lower Bounds NIPS 2015
On Elicitation Complexity NIPS 2015
Surrogate regret bounds for generalized classification performance metrics ACML 2015
On Consistent Surrogate Risk Minimization and Property Elicitation COLT 2015
Generalized Mixability via Entropic Duality COLT 2015
Convex Risk Minimization and Conditional Probability Estimation COLT 2015
Total Variation Regularization of Shape Signals CVPR 2015
Cross-Age Face Verification by Coordinating With Cross-Face Age Verification CVPR 2015
Self Scaled Regularized Robust Regression CVPR 2015
Multi-Objective Convolutional Learning for Face Labeling CVPR 2015
Robust Non-Rigid Motion Tracking and Surface Reconstruction Using L0 Regularization ICCV 2015
On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property ICML 2015
A New Generalized Error Path Algorithm for Model Selection ICML 2015
Learning with the Maximum Correntropy Criterion Induced Losses for Regression JMLR 2015
A View of Margin Losses as Regularizers of Probability Estimates JMLR 2015
Consistent Binary Classification with Generalized Performance Metrics NIPS 2014
The limits of squared Euclidean distance regularization NIPS 2014
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NIPS 2014
Learning Structured Models with the AUC Loss and Its Generalizations AISTATS 2014
Elicitation and Identification of Properties COLT 2014
The Geometry of Losses COLT 2014
One Millisecond Face Alignment with an Ensemble of Regression Trees CVPR 2014