Bayesian & Probabilistic

Why are DBNs sparse? AISTATS 2010 Word Features for Latent Dirichlet Allocation NeurIPS 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NeurIPS 2009 Adaptive Design Optimization in Experiments with People NeurIPS 2009 A Gaussian Tree Approximation for Integer Least-Squares NeurIPS 2009 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 An Additive Latent Feature Model for Transparent Object Recognition NeurIPS 2009 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009 Approximating MAP by Compensating for Structural Relaxations NeurIPS 2009 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NeurIPS 2009 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NeurIPS 2009 A Stochastic approximation method for inference in probabilistic graphical models NeurIPS 2009 Bayesian estimation of orientation preference maps NeurIPS 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Bayesian Source Localization with the Multivariate Laplace Prior NeurIPS 2009 Bayesian Sparse Factor Models and DAGs Inference and Comparison NeurIPS 2009 Clustering sequence sets for motif discovery NeurIPS 2009 Conditional Neural Fields NeurIPS 2009 Conditional Random Fields with High-Order Features for Sequence Labeling NeurIPS 2009 Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection NeurIPS 2009 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009