loss function

On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting JMLR 2016 Open Problem: Property Elicitation and Elicitation Complexity COLT 2016 Optimal Binary Classifier Aggregation for General Losses NeurIPS 2016 Optimal Black-Box Reductions Between Optimization Objectives NeurIPS 2016 PatchBatch: A Batch Augmented Loss for Optical Flow CVPR 2016 Learning Large-Scale Automatic Image Colorization ICCV 2015 Learning with a Wasserstein Loss NeurIPS 2015 Learning with Square Loss: Localization through Offset Rademacher Complexity COLT 2015 Learning with the Maximum Correntropy Criterion Induced Losses for Regression JMLR 2015 On Learning Distributions from their Samples COLT 2015 On Learning Optimized Reaction Diffusion Processes for Effective Image Restoration CVPR 2015 Surrogate regret bounds for generalized classification performance metrics ACML 2015 Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014 Efficient Optimization for Average Precision SVM NeurIPS 2014 Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014 Interval Insensitive Loss for Ordinal Classification ACML 2014 Structured Prediction via Output Space Search JMLR 2014 The Coherent Loss Function for Classification ICML 2014 The Geometry of Losses COLT 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 Consistency versus Realizable H-Consistency for Multiclass Classification ICML 2013 A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems COLT 2012 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012 Learning Low-order Models for Enforcing High-order Statistics AISTATS 2012 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NeurIPS 2012