Bayesian & Probabilistic

A Higher-Order CRF Model for Road Network Extraction CVPR 2013 A Kernel Test for Three-Variable Interactions NeurIPS 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration CVPR 2013 Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 Annealing between distributions by averaging moments NeurIPS 2013 Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NeurIPS 2013 Approximate Gaussian process inference for the drift function in stochastic differential equations NeurIPS 2013 Approximate Inference in Continuous Determinantal Processes NeurIPS 2013 Approximate inference in latent Gaussian-Markov models from continuous time observations NeurIPS 2013 A Principled Deep Random Field Model for Image Segmentation CVPR 2013 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013 A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects ICCV 2013 A unifying representation for a class of dependent random measures AISTATS 2013 Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NeurIPS 2013 A Video Representation Using Temporal Superpixels CVPR 2013 Bayesian Canonical Correlation Analysis JMLR 2013 Bayesian entropy estimation for binary spike train data using parametric prior knowledge NeurIPS 2013 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Bayesian Games for Adversarial Regression Problems ICML 2013 Bayesian Hierarchical Community Discovery NeurIPS 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NeurIPS 2013 Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NeurIPS 2013 Bayesian inference as iterated random functions with applications to sequential inference in graphical models NeurIPS 2013