Probabilistic Modeling

Synthesizing Robust Plans under Incomplete Domain Models NeurIPS 2013 Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections NeurIPS 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 Using multiple samples to learn mixture models NeurIPS 2013 Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NeurIPS 2013 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NeurIPS 2013 Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012 A Composite Likelihood View for Multi-Label Classification AISTATS 2012 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 A Generative Model for Parts-based Object Segmentation NeurIPS 2012 Algorithms for Learning Markov Field Policies NeurIPS 2012 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 A Neural Autoregressive Topic Model NeurIPS 2012 A nonparametric variable clustering model NeurIPS 2012 A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling NeurIPS 2012 Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012 A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012 Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012