Probabilistic Modeling

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 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 Hierarchical Community Discovery NeurIPS 2013 Bayesian inference as iterated random functions with applications to sequential inference in graphical models NeurIPS 2013 Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Bayesian Robust Matrix Factorization for Image and Video Processing ICCV 2013 Bethe Bounds and Approximating the Global Optimum AISTATS 2013 Category-Independent Object-Level Saliency Detection ICCV 2013 Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification ICCV 2013 Complexity Theoretic Lower Bounds for Sparse Principal Component Detection COLT 2013 Computing the M Most Probable Modes of a Graphical Model AISTATS 2013 Conditional Random Fields via Univariate Exponential Families NeurIPS 2013 Consistency of Robust Kernel Density Estimators COLT 2013