Representation Learning

Hierarchical Latent Dictionaries for Models of Brain Activation AISTATS 2012 Hierarchical spike coding of sound NeurIPS 2012 High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012 High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012 Isotropic Hashing NeurIPS 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 Kernel Hyperalignment NeurIPS 2012 Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 Learning as MAP Inference in Discrete Graphical Models NeurIPS 2012 Learning Fourier Sparse Set Functions AISTATS 2012 Learning from Distributions via Support Measure Machines NeurIPS 2012 Learning Image Descriptors with the Boosting-Trick NeurIPS 2012 Learning Invariant Representations of Molecules for Atomization Energy Prediction NeurIPS 2012 Learning Manifolds with K-Means and K-Flats NeurIPS 2012 Learning Networks of Heterogeneous Influence NeurIPS 2012 Learning optimal spike-based representations NeurIPS 2012 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Learning the Architecture of Sum-Product Networks Using Clustering on Variables NeurIPS 2012 Learning the Dependency Structure of Latent Factors NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Linear Regression With Random Projections JMLR 2012 Locality Preserving Feature Learning AISTATS 2012 Locally Uniform Comparison Image Descriptor NeurIPS 2012 Low rank continuous-space graphical models AISTATS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012