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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013
Sparse Single-Index Model JMLR 2013
Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System RSS 2013
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NIPS 2013
Approximating the Permanent with Fractional Belief Propagation JMLR 2013
Bayesian Grammar Learning for Inverse Procedural Modeling CVPR 2013
Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior CVPR 2013
Variational Multinomial Logit Gaussian Process JMLR 2012
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks JMLR 2012
Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012
Bayesian Group Factor Analysis AISTATS 2012
Optimistic Bayesian Sampling in Contextual-Bandit Problems JMLR 2012
A Family of MCMC Methods on Implicitly Defined Manifolds AISTATS 2012
glm-ie: Generalised Linear Models Inference & Estimation Toolbox JMLR 2012
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NIPS 2012
Bayesian Probabilistic Co-Subspace Addition NIPS 2012
EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012
MedLDA: Maximum Margin Supervised Topic Models JMLR 2012
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NIPS 2012
Learning with Target Prior NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Online Sum-Product Computation Over Trees NIPS 2012
Expectation Propagation in Gaussian Process Dynamical Systems NIPS 2012
Weighted Likelihood Policy Search with Model Selection NIPS 2012