Bayesian & Probabilistic

A Joint Model for 2D and 3D Pose Estimation from a Single Image CVPR 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 Annealing between distributions by averaging moments NeurIPS 2013 A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines ICML 2013 A Non-parametric Bayesian Network Prior of Human Pose ICCV 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 Approximate Representations for Multi-Robot Control Policies that Maximize Mutual Information RSS 2013 A recursive estimate for the predictive likelihood in a topic model AISTATS 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 Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013 A Widely Applicable Bayesian Information Criterion JMLR 2013 Bayesian Canonical Correlation Analysis JMLR 2013 Bayesian Depth-from-Defocus with Shading Constraints CVPR 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 Fusion for Multi-Modal Aerial Images RSS 2013 Bayesian Games for Adversarial Regression Problems ICML 2013