Representation Learning

Nonparametric Latent Feature Models for Link Prediction NeurIPS 2009 Non-stationary continuous dynamic Bayesian networks NeurIPS 2009 Occlusive Components Analysis NeurIPS 2009 On Invariance in Hierarchical Models NeurIPS 2009 On Learning Rotations NeurIPS 2009 On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NeurIPS 2009 Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NeurIPS 2009 Polynomial-Delay Enumeration of Monotonic Graph Classes JMLR 2009 Polynomial Semantic Indexing NeurIPS 2009 Probabilistic Relational PCA NeurIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models NeurIPS 2009 Refinement of Reproducing Kernels JMLR 2009 Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009 Riffled Independence for Ranked Data NeurIPS 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NeurIPS 2009 Sharing Features among Dynamical Systems with Beta Processes NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 Sparse and Locally Constant Gaussian Graphical Models NeurIPS 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 Structure Spaces JMLR 2009 Submanifold density estimation NeurIPS 2009 The 'tree-dependent components' of natural scenes are edge filters NeurIPS 2009