margin-based classification

Learning Data-adaptive Non-parametric Kernels JMLR 2020 MarginGAN: Adversarial Training in Semi-Supervised Learning NeurIPS 2019 On the Learnability of Fully-Connected Neural Networks AISTATS 2017 Maximum Margin Multiclass Nearest Neighbors ICML 2014 Near-optimal sample compression for nearest neighbors NeurIPS 2014 Perceptron Learning of SAT NeurIPS 2012 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 Unsupervised Supervised Learning II: Margin-Based Classification Without Labels JMLR 2011 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 Large Margin Component Analysis NeurIPS 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006 Online Passive-Aggressive Algorithms JMLR 2006 Multiclass Classification with Multi-Prototype Support Vector Machines JMLR 2005 A New Approximate Maximal Margin Classification Algorithm JMLR 2001