hinge loss

Online Asymmetric Similarity Learning for Cross-Modal Retrieval CVPR 2017 Spatial Decompositions for Large Scale SVMs AISTATS 2017 Adversarial Multiclass Classification: A Risk Minimization Perspective NeurIPS 2016 Nonparametric Budgeted Stochastic Gradient Descent AISTATS 2016 Computational Complexity of Linear Large Margin Classification With Ramp Loss AISTATS 2015 Convex Formulation for Learning from Positive and Unlabeled Data ICML 2015 K-hyperplane Hinge-Minimax Classifier ICML 2015 Learning Sparse Low-Threshold Linear Classifiers JMLR 2015 Learning with Symmetric Label Noise: The Importance of Being Unhinged NeurIPS 2015 Support Matrix Machines ICML 2015 Analysis of Learning from Positive and Unlabeled Data NeurIPS 2014 Discrete Chebyshev Classifiers ICML 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Ramp Loss Linear Programming Support Vector Machine JMLR 2014 A Max-Margin Perspective on Sparse Representation-Based Classification ICCV 2013 Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013 Rounding Methods for Discrete Linear Classification ICML 2013 A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012 Coherence Functions with Applications in Large-Margin Classification Methods JMLR 2012 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010 Lower Bounds on Rate of Convergence of Cutting Plane Methods NeurIPS 2010 Online Passive-Aggressive Algorithms on a Budget AISTATS 2010 An Online Algorithm for Large Scale Image Similarity Learning NeurIPS 2009 A Moment Bound for Multi-hinge Classifiers JMLR 2008 Classification with a Reject Option using a Hinge Loss JMLR 2008