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hinge loss

49 papers

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Co-occurring keywords

support vector machine (978) convex optimization (1321) binary classification (678) kernel methods (1097) online learning (1777) benign overfitting (35) neural network (6616) loss function (462) surrogate loss (94) label noise (498)

Papers

Spatial Decompositions for Large Scale SVMs AISTATS 2017
Nonparametric Budgeted Stochastic Gradient Descent AISTATS 2016
Adversarial Multiclass Classification: A Risk Minimization Perspective NIPS 2016
Learning Sparse Low-Threshold Linear Classifiers JMLR 2015
Convex Formulation for Learning from Positive and Unlabeled Data ICML 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged NIPS 2015
K-hyperplane Hinge-Minimax Classifier ICML 2015
Support Matrix Machines ICML 2015
Computational Complexity of Linear Large Margin Classification With Ramp Loss AISTATS 2015
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
Rounding Methods for Discrete Linear Classification ICML 2013
A Max-Margin Perspective on Sparse Representation-Based Classification ICCV 2013
Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 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
Online Passive-Aggressive Algorithms on a Budget AISTATS 2010
Support Vector Machines with a Reject Option NIPS 2008
A Moment Bound for Multi-hinge Classifiers JMLR 2008
Classification with a Reject Option using a Hinge Loss JMLR 2008
Prediction on a Graph with a Perceptron NIPS 2006
Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005