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Bayesian Inference

523 papers

Papers per year

9
8
42
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Papers

Streaming, Distributed Variational Inference for Bayesian Nonparametrics NIPS 2015
The Population Posterior and Bayesian Modeling on Streams NIPS 2015
Fast Lifted MAP Inference via Partitioning NIPS 2015
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
Image Segmentation in Twenty Questions CVPR 2015
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015
Nested Sequential Monte Carlo Methods ICML 2015
A Framework for Testing Identifiability of Bayesian Models of Perception NIPS 2014
Augur: Data-Parallel Probabilistic Modeling NIPS 2014
On Prior Distributions and Approximate Inference for Structured Variables NIPS 2014
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks 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
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NIPS 2014
Bayesian Inference for Structured Spike and Slab Priors NIPS 2014
Nonparametric Bayesian inference on multivariate exponential families NIPS 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014
A Procrustean Markov Process for Non-Rigid Structure Recovery CVPR 2014
Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI CVPR 2014
Bayesian Active Appearance Models CVPR 2014
Bayesian View Synthesis and Image-Based Rendering Principles CVPR 2014
Ground Plane Estimation using a Hidden Markov Model CVPR 2014
Thompson Sampling for Complex Online Problems ICML 2014
Gaussian Approximation of Collective Graphical Models ICML 2014