sparse learning

Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Multivariate Dyadic Regression Trees for Sparse Learning Problems NeurIPS 2010 Sparse Semi-supervised Learning Using Conjugate Functions JMLR 2010 A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers NeurIPS 2009 Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NeurIPS 2009 Efficient Learning using Forward-Backward Splitting NeurIPS 2009 Multi-Label Prediction via Sparse Infinite CCA NeurIPS 2009 Nonparametric Greedy Algorithms for the Sparse Learning Problem NeurIPS 2009 On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NeurIPS 2009 Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NeurIPS 2008 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NeurIPS 2008 Sparse Online Learning via Truncated Gradient NeurIPS 2008 Sparsity of SVMs that use the epsilon-insensitive loss NeurIPS 2008 Blind channel identification for speech dereverberation using l1-norm sparse learning NeurIPS 2007 Heterogeneous Component Analysis NeurIPS 2007 SpAM: Sparse Additive Models NeurIPS 2007 Sparse Overcomplete Latent Variable Decomposition of Counts Data NeurIPS 2007 A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006 Large-Scale Sparsified Manifold Regularization NeurIPS 2006 Sparse Boosting JMLR 2006 Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NeurIPS 2006