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Probabilistic Modeling

2,252 papers

Papers per year

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Papers

Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process AISTATS 2015
Sparse Submodular Probabilistic PCA AISTATS 2015
Latent feature regression for multivariate count data AISTATS 2015
Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015
MCMC Learning COLT 2015
Latent Trees for Estimating Intensity of Facial Action Units CVPR 2015
Indoor Scene Structure Analysis for Single Image Depth Estimation CVPR 2015
Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015
A Statistical Model of Riemannian Metric Variation for Deformable Shape Analysis CVPR 2015
Probability Occupancy Maps for Occluded Depth Images CVPR 2015
Rent3D: Floor-Plan Priors for Monocular Layout Estimation CVPR 2015
Robust Multi-Image Based Blind Face Hallucination CVPR 2015
Probabilistic Appearance Models for Segmentation and Classification ICCV 2015
Joint Probabilistic Data Association Revisited ICCV 2015
Structural Maxent Models ICML 2015
Vector-Space Markov Random Fields via Exponential Families ICML 2015
Message Passing for Collective Graphical Models ICML 2015
Adaptive Belief Propagation ICML 2015
Reified Context Models ICML 2015
A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015
Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015
Bayesian Multiple Target Localization ICML 2015
A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015
Fixed-point algorithms for learning determinantal point processes ICML 2015