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bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Learning Feature Selection Dependencies in Multi-task Learning NIPS 2013
Bayesian inference for low rank spatiotemporal neural receptive fields NIPS 2013
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NIPS 2013
Demixing odors - fast inference in olfaction NIPS 2013
Integrated Non-Factorized Variational Inference NIPS 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NIPS 2013
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NIPS 2013
Learning Stochastic Inverses NIPS 2013
Real-Time Inference for a Gamma Process Model of Neural Spiking NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Context-sensitive active sensing in humans NIPS 2013
Reconciling "priors" & "priors" without prejudice? NIPS 2013
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NIPS 2013
Bayesian entropy estimation for binary spike train data using parametric prior knowledge NIPS 2013
Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013
Bayesian Depth-from-Defocus with Shading Constraints CVPR 2013
Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow CVPR 2013
Active Visual Recognition with Expertise Estimation in Crowdsourcing ICCV 2013
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution CVPR 2013
Stochastic Deconvolution CVPR 2013
Understanding Bayesian Rooms Using Composite 3D Object Models CVPR 2013
ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013
A recursive estimate for the predictive likelihood in a topic model AISTATS 2013