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margin maximization

49 papers

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Co-occurring keywords

support vector machine (978) gradient descent (1144) kernel methods (1097) implicit bia (107) semi-supervised learning (2341) generalization bound (652) perceptron algorithm (18) logistic regression (386) ensemble learning (1274) binary classification (678)

Papers

Adversarial Metric Learning IJCAI 2018
Large Margin Neural Language Model EMNLP 2018
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017
Large Margin Discriminant Dimensionality Reduction in Prediction Space NIPS 2016
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NIPS 2016
Feature Selection for Linear SVM with Provable Guarantees AISTATS 2015
Margins, Kernels and Non-linear Smoothed Perceptrons ICML 2014
Direct 0-1 Loss Minimization and Margin Maximization with Boosting NIPS 2013
Random Projections for Support Vector Machines AISTATS 2013
Learning Kernels with Radiuses of Minimum Enclosing Balls NIPS 2010
Semi-Supervised Learning with Max-Margin Graph Cuts AISTATS 2010
Maximum Relative Margin and Data-Dependent Regularization JMLR 2010
Relative Margin Machines NIPS 2008
Optimization Techniques for Semi-Supervised Support Vector Machines JMLR 2008
Max-margin Classification of Data with Absent Features JMLR 2008
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
On higher-order perceptron algorithms NIPS 2007
Regularized Boost for Semi-Supervised Learning NIPS 2007
Large Margin Hidden Markov Models for Automatic Speech Recognition NIPS 2006
Analysis of Representations for Domain Adaptation NIPS 2006
Branch and Bound for Semi-Supervised Support Vector Machines NIPS 2006
Efficient Margin Maximizing with Boosting JMLR 2005
A New Approximate Maximal Margin Classification Algorithm JMLR 2001
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001