Bayesian & Probabilistic

A Compilation Target for Probabilistic Programming Languages ICML 2014 A Complete Variational Tracker NeurIPS 2014 Adaptive Variable Clustering in Gaussian Graphical Models AISTATS 2014 A Deep and Tractable Density Estimator ICML 2014 Advances in Learning Bayesian Networks of Bounded Treewidth NeurIPS 2014 Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014 A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014 A Framework for Testing Identifiability of Bayesian Models of Perception NeurIPS 2014 Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy ICML 2014 A Junction Tree Framework for Undirected Graphical Model Selection JMLR 2014 Algorithm selection by rational metareasoning as a model of human strategy selection NeurIPS 2014 A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input NeurIPS 2014 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NeurIPS 2014 Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014 A New Approach to Probabilistic Programming Inference AISTATS 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process NeurIPS 2014 A Procrustean Markov Process for Non-Rigid Structure Recovery CVPR 2014 A reversible infinite HMM using normalised random measures ICML 2014 A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NeurIPS 2014 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 Asynchronous Anytime Sequential Monte Carlo NeurIPS 2014 Augur: Data-Parallel Probabilistic Modeling NeurIPS 2014 Automated Variational Inference for Gaussian Process Models NeurIPS 2014