Bayesian Inference

Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling” AISTATS 2011 Distance Dependent Chinese Restaurant Processes JMLR 2011 Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011 Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NeurIPS 2011 Efficient inference in matrix-variate Gaussian models with \iid observation noise NeurIPS 2011 Estimating Probabilities in Recommendation Systems AISTATS 2011 Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NeurIPS 2011 Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011 Faithfulness in Chain Graphs: The Gaussian Case AISTATS 2011 Fast b-matching via Sufficient Selection Belief Propagation AISTATS 2011 Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011 Finite-Time Regional Verification of Stochastic Nonlinear Systems RSS 2011 Gaussian process modulated renewal processes NeurIPS 2011 Gaussian Process Training with Input Noise NeurIPS 2011 Generalised Coupled Tensor Factorisation NeurIPS 2011 Generalized Beta Mixtures of Gaussians NeurIPS 2011 Hierarchical Knowledge Gradient for Sequential Sampling JMLR 2011 Hierarchical Probabilistic Models for Group Anomaly Detection AISTATS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 Inference in continuous-time change-point models NeurIPS 2011 Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NeurIPS 2011 Inferring spike-timing-dependent plasticity from spike train data NeurIPS 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Information Rates of Nonparametric Gaussian Process Methods JMLR 2011 Kernel Bayes' Rule NeurIPS 2011