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Bayesian Inference

518 directly classified papers

Papers per year

Papers

A Bayesian Framework for Modeling Confidence in Perceptual Decision Making NIPS 2015
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI CVPR 2014
A Procrustean Markov Process for Non-Rigid Structure Recovery CVPR 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Gaussian Approximation of Collective Graphical Models ICML 2014
Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014
On Prior Distributions and Approximate Inference for Structured Variables NIPS 2014
Ground Plane Estimation using a Hidden Markov Model CVPR 2014
Kernel Adaptive Metropolis-Hastings ICML 2014
Revisiting Bayesian Blind Deconvolution JMLR 2014
Bayesian Inference for Structured Spike and Slab Priors NIPS 2014
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NIPS 2014
A Bayesian model for identifying hierarchically organised states in neural population activity NIPS 2014
Stochastic variational inference for hidden Markov models NIPS 2014
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks NIPS 2014
Augur: Data-Parallel Probabilistic Modeling NIPS 2014
A Framework for Testing Identifiability of Bayesian Models of Perception NIPS 2014
Bayesian View Synthesis and Image-Based Rendering Principles CVPR 2014
Nonparametric Bayesian inference on multivariate exponential families NIPS 2014
Thompson Sampling for Complex Online Problems ICML 2014
Bayesian Active Appearance Models CVPR 2014
Latent Data Association: Bayesian Model Selection for Multi-target Tracking ICCV 2013
Bayesian inference for low rank spatiotemporal neural receptive fields NIPS 2013
Universal models for binary spike patterns using centered Dirichlet processes NIPS 2013