Representation Learning

Maximum Margin Multi-Label Structured Prediction NeurIPS 2011 Minimum Description Length Penalization for Group and Multi-Task Sparse Learning JMLR 2011 Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NeurIPS 2011 Multi-View Learning of Word Embeddings via CCA NeurIPS 2011 Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation NeurIPS 2011 Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels NeurIPS 2011 -Norm Multiple Kernel Learning JMLR 2011 On Learning Discrete Graphical Models using Greedy Methods NeurIPS 2011 On Learning Discrete Graphical Models using Group-Sparse Regularization AISTATS 2011 Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011 Policy Gradient Coagent Networks NeurIPS 2011 Portmanteau Vocabularies for Multi-Cue Image Representation NeurIPS 2011 Posterior Sparsity in Unsupervised Dependency Parsing JMLR 2011 Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NeurIPS 2011 Proximal Methods for Hierarchical Sparse Coding JMLR 2011 Query-Aware MCMC NeurIPS 2011 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 Robust Bayesian Matrix Factorisation AISTATS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Semi-supervised Regression via Parallel Field Regularization NeurIPS 2011 Sequence learning with hidden units in spiking neural networks NeurIPS 2011 Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 Similarity-based Learning via Data Driven Embeddings NeurIPS 2011