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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

New Rules for Domain Independent Lifted MAP Inference NIPS 2014
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NIPS 2014
Causal Inference through a Witness Protection Program NIPS 2014
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NIPS 2014
Extracting Latent Structure From Multiple Interacting Neural Populations NIPS 2014
A Complete Variational Tracker NIPS 2014
Covariance shrinkage for autocorrelated data NIPS 2014
Elementary Estimators for Graphical Models NIPS 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo ACML 2014
Ordinal Random Fields for Recommender Systems ACML 2014
Expectation-Maximization for Learning Determinantal Point Processes NIPS 2014
Bayesian Inference for Structured Spike and Slab Priors NIPS 2014
Parallel Sampling of HDPs using Sub-Cluster Splits NIPS 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NIPS 2014
Covariance Trees for 2D and 3D Processing CVPR 2014
A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions CVPR 2014
Probabilistic Labeling Cost for High-Accuracy Multi-View Reconstruction CVPR 2014
Asymmetrical Gauss Mixture Models for Point Sets Matching CVPR 2014
Parsing World's Skylines using Shape-Constrained MRFs CVPR 2014
Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI CVPR 2014
Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision CVPR 2014
Dirichlet-based Histogram Feature Transform for Image Classification CVPR 2014
Color Transfer Using Probabilistic Moving Least Squares CVPR 2014
Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014