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Bayesian Inference

4821 directly classified papers

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Papers

Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
Smoothed Gradients for Stochastic Variational Inference NIPS 2014
A Filtering Approach to Stochastic Variational Inference NIPS 2014
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NIPS 2014
From MAP to Marginals: Variational Inference in Bayesian Submodular Models NIPS 2014
A Truncated EM Approach for Spike-and-Slab Sparse Coding JMLR 2014
Efficient Occlusive Components Analysis JMLR 2014
A Novel Chamfer Template Matching Method Using Variational Mean Field CVPR 2014
Combining 3D Shape, Color, and Motion for Robust Anytime Tracking RSS 2014
Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NIPS 2014
Gaussian Process Volatility Model NIPS 2014
A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NIPS 2014
Stochastic Variational Inference for Bayesian Time Series Models ICML 2014
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits JMLR 2014
Von Mises-Fisher Clustering Models ICML 2014
Just-In-Time Learning for Fast and Flexible Inference NIPS 2014
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NIPS 2014
Covariance Trees for 2D and 3D Processing CVPR 2014
Region-based Particle Filter for Video Object Segmentation CVPR 2014
Bayesian Active Appearance Models CVPR 2014
A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions CVPR 2014
Pan-sharpening with a Bayesian nonparametric dictionary learning model AISTATS 2014
Doubly Stochastic Variational Bayes for non-Conjugate Inference ICML 2014
Global Sensitivity Analysis for MAP Inference in Graphical Models NIPS 2014