Probabilistic Modeling

Mixed Membership Stochastic Blockmodels NeurIPS 2008 Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NeurIPS 2008 Multi-Agent Filtering with Infinitely Nested Beliefs NeurIPS 2008 Multiscale Random Fields with Application to Contour Grouping NeurIPS 2008 Near-minimax recursive density estimation on the binary hypercube NeurIPS 2008 Nonlinear causal discovery with additive noise models NeurIPS 2008 Partially Observed Maximum Entropy Discrimination Markov Networks NeurIPS 2008 Probabilistic detection of short events, with application to critical care monitoring NeurIPS 2008 Sparse probabilistic projections NeurIPS 2008 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Infinite Hierarchical Factor Regression Model NeurIPS 2008 The Mondrian Process NeurIPS 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 A Bayesian Model of Conditioned Perception NeurIPS 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 Agreement-Based Learning NeurIPS 2007 A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007 A Probabilistic Approach to Language Change NeurIPS 2007