Bayesian Inference

Fast interior-point inference in high-dimensional sparse, penalized state-space models AISTATS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 Gaussian Processes for time-marked time-series data AISTATS 2012 glm-ie: Generalised Linear Models Inference & Estimation Toolbox JMLR 2012 Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NeurIPS 2012 High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012 Informative Priors for Markov Blanket Discovery AISTATS 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 Learning as MAP Inference in Discrete Graphical Models NeurIPS 2012 Learning with Target Prior NeurIPS 2012 Lifted Linear Programming AISTATS 2012 Low rank continuous-space graphical models AISTATS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Max-Margin Min-Entropy Models AISTATS 2012 MCMC for continuous-time discrete-state systems NeurIPS 2012 MedLDA: Maximum Margin Supervised Topic Models JMLR 2012 Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Mixability in Statistical Learning NeurIPS 2012 Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012