Bayesian & Probabilistic

Near-minimax recursive density estimation on the binary hypercube NeurIPS 2008 Nonlinear causal discovery with additive noise models NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NeurIPS 2008 Non-stationary dynamic Bayesian networks NeurIPS 2008 Optimal Response Initiation: Why Recent Experience Matters NeurIPS 2008 Partially Observed Maximum Entropy Discrimination Markov Networks NeurIPS 2008 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NeurIPS 2008 Probabilistic detection of short events, with application to critical care monitoring NeurIPS 2008 Psychiatry: Insights into depression through normative decision-making models NeurIPS 2008 Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NeurIPS 2008 Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NeurIPS 2008 Sparse Convolved Gaussian Processes for Multi-output Regression 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 Structure Learning in Human Sequential Decision-Making NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 Syntactic Topic Models 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