Bayesian Inference

Functional form of motion priors in human motion perception NeurIPS 2010 Gaussian Process Preference Elicitation NeurIPS 2010 Global seismic monitoring as probabilistic inference NeurIPS 2010 Group Sparse Coding with a Laplacian Scale Mixture Prior NeurIPS 2010 Improvements to the Sequence Memoizer NeurIPS 2010 Improving posterior marginal approximations in latent Gaussian models AISTATS 2010 Inference with Multivariate Heavy-Tails in Linear Models NeurIPS 2010 Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NeurIPS 2010 Linear readout from a neural population with partial correlation data NeurIPS 2010 MAP Estimation for Graphical Models by Likelihood Maximization NeurIPS 2010 Mixture of time-warped trajectory models for movement decoding NeurIPS 2010 Near-Optimal Bayesian Active Learning with Noisy Observations NeurIPS 2010 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 Probabilistic Inference and Differential Privacy NeurIPS 2010 Probabilistic latent variable models for distinguishing between cause and effect NeurIPS 2010 Probabilistic Multi-Task Feature Selection NeurIPS 2010 Slice sampling covariance hyperparameters of latent Gaussian models NeurIPS 2010 Synergies in learning words and their referents NeurIPS 2010 Tree-Structured Stick Breaking for Hierarchical Data NeurIPS 2010 Why are DBNs sparse? AISTATS 2010 L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NeurIPS 2009 A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NeurIPS 2009 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009