Regularization

Matrix reconstruction with the local max norm NeurIPS 2012 Parametric Local Metric Learning for Nearest Neighbor Classification NeurIPS 2012 Sparse Prediction with the k-Support Norm NeurIPS 2012 Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NeurIPS 2012 The representer theorem for Hilbert spaces: a necessary and sufficient condition NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Volume Regularization for Binary Classification NeurIPS 2012 Phase transition in the family of p-resistances NeurIPS 2011 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 A Dirty Model for Multi-task Learning NeurIPS 2010 A Family of Penalty Functions for Structured Sparsity NeurIPS 2010 Regularized estimation of image statistics by Score Matching NeurIPS 2010 Spatial and anatomical regularization of SVM for brain image analysis NeurIPS 2010 Spectral Regularization for Support Estimation NeurIPS 2010 Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008 High-dimensional support union recovery in multivariate regression NeurIPS 2008 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 Multi-stage Convex Relaxation for Learning with Sparse Regularization NeurIPS 2008 Nonparametric regression and classification with joint sparsity constraints NeurIPS 2008 Regularized Learning with Networks of Features NeurIPS 2008 Regularized Policy Iteration NeurIPS 2008 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 Classification via Minimum Incremental Coding Length (MICL) NeurIPS 2007 Regularized Boost for Semi-Supervised Learning NeurIPS 2007 Efficient Structure Learning of Markov Networks using L_1-Regularization NeurIPS 2006