Bayesian Inference

Distributed Bayesian Posterior Sampling via Moment Sharing NeurIPS 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Fast Sampling-Based Inference in Balanced Neuronal Networks NeurIPS 2014 Gaussian Approximation of Collective Graphical Models ICML 2014 Gaussian Process Volatility Model NeurIPS 2014 General Table Completion using a Bayesian Nonparametric Model NeurIPS 2014 Ground Plane Estimation using a Hidden Markov Model CVPR 2014 Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NeurIPS 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Magnitude-sensitive preference formation` NeurIPS 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks NeurIPS 2014 Nonparametric Bayesian inference on multivariate exponential families NeurIPS 2014 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014 Optimal prior-dependent neural population codes under shared input noise NeurIPS 2014 PAC-Bayesian AUC classification and scoring NeurIPS 2014 Parallel Sampling of HDPs using Sub-Cluster Splits NeurIPS 2014 Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NeurIPS 2014 Positive Curvature and Hamiltonian Monte Carlo NeurIPS 2014 Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NeurIPS 2014 Revisiting Bayesian Blind Deconvolution JMLR 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014 Scalable Inference for Neuronal Connectivity from Calcium Imaging NeurIPS 2014