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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Rectangular Tiling Process ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo ICML 2014
Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014
Bayesian Optimization with Inequality Constraints ICML 2014
Distributed Stochastic Gradient MCMC ICML 2014
Inferning with High Girth Graphical Models ICML 2014
Learning Modular Structures from Network Data and Node Variables ICML 2014
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014
A Bayesian Framework for Online Classifier Ensemble ICML 2014
Kernel Adaptive Metropolis-Hastings ICML 2014
Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014
Stochastic Deconvolution CVPR 2013
Minimum Uncertainty Gap for Robust Visual Tracking CVPR 2013
A Bayesian Approach to Multimodal Visual Dictionary Learning CVPR 2013
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NIPS 2013
A recursive estimate for the predictive likelihood in a topic model AISTATS 2013
Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Thompson Sampling in Switching Environments with Bayesian Online Change Detection AISTATS 2013
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables AISTATS 2013
Exact Learning of Bounded Tree-width Bayesian Networks AISTATS 2013
ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013
Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013
Efficiently Sampling Probabilistic Programs via Program Analysis AISTATS 2013