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probabilistic modeling

851 papers

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PM

Co-occurring keywords

bayesian inference (1904) variational inference (2069) probabilistic model (476) graphical model (863) uncertainty quantification (1365) generative model (2889) bayesian network (378) causal inference (1619) latent variable model (564) probabilistic inference (310)

Papers

Probability Occupancy Maps for Occluded Depth Images CVPR 2015
Rent3D: Floor-Plan Priors for Monocular Layout Estimation CVPR 2015
On Theoretical Properties of Sum-Product Networks AISTATS 2015
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NIPS 2015
Tractable Learning for Complex Probability Queries NIPS 2015
Bidirectional Recurrent Neural Networks as Generative Models NIPS 2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NIPS 2015
A Topic Modeling Approach to Ranking AISTATS 2015
The Libra Toolkit for Probabilistic Models JMLR 2015
On Sparse Gaussian Chain Graph Models NIPS 2014
Mind the Nuisance: Gaussian Process Classification using Privileged Noise NIPS 2014
Distributed Parameter Estimation in Probabilistic Graphical Models NIPS 2014
Global Sensitivity Analysis for MAP Inference in Graphical Models NIPS 2014
Multiview Shape and Reflectance from Natural Illumination CVPR 2014
Bayesian Active Appearance Models CVPR 2014
Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NIPS 2014
Expectation-Maximization for Learning Determinantal Point Processes NIPS 2014
Bayes-Optimal Scorers for Bipartite Ranking COLT 2014
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically ICML 2014
From MAP to Marginals: Variational Inference in Bayesian Submodular Models NIPS 2014
Restricted Boltzmann machines modeling human choice NIPS 2014
General Table Completion using a Bayesian Nonparametric Model NIPS 2014
Probabilistic low-rank matrix completion on finite alphabets NIPS 2014
Blossom Tree Graphical Models NIPS 2014