multi-task learning

Multi-Task Learning using Generalized t Process AISTATS 2010 Multitask Learning without Label Correspondences NeurIPS 2010 On Spectral Learning JMLR 2010 Probabilistic Multi-Task Feature Selection NeurIPS 2010 Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models NeurIPS 2010 Asymptotically Optimal Regularization in Smooth Parametric Models NeurIPS 2009 Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NeurIPS 2009 Heterogeneous multitask learning with joint sparsity constraints NeurIPS 2009 When Is There a Representer Theorem? Vector Versus Matrix Regularizers JMLR 2009 Clustered Multi-Task Learning: A Convex Formulation NeurIPS 2008 Multi-task Gaussian Process Learning of Robot Inverse Dynamics NeurIPS 2008 Nonparametric regression and classification with joint sparsity constraints NeurIPS 2008 Universal Multi-Task Kernels JMLR 2008 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007 Multi-task Gaussian Process Prediction NeurIPS 2007 Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007 Multi-Task Learning via Conic Programming NeurIPS 2007 Online Learning of Multiple Tasks with a Shared Loss JMLR 2007 Semi-Supervised Multitask Learning NeurIPS 2007 Bounds for Linear Multi-Task Learning JMLR 2006 Incremental Algorithms for Hierarchical Classification JMLR 2006 Multi-Task Feature Learning NeurIPS 2006 Online Classification for Complex Problems Using Simultaneous Projections NeurIPS 2006 A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data JMLR 2005