Bayesian & Probabilistic

Bayesian Sparse Factor Models and DAGs Inference and Comparison NeurIPS 2009 Clustering sequence sets for motif discovery NeurIPS 2009 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NeurIPS 2009 Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NeurIPS 2009 Fourier Theoretic Probabilistic Inference over Permutations JMLR 2009 Gaussian process regression with Student-t likelihood NeurIPS 2009 Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NeurIPS 2009 Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NeurIPS 2009 Help or Hinder: Bayesian Models of Social Goal Inference NeurIPS 2009 Hierarchical Learning of Dimensional Biases in Human Categorization NeurIPS 2009 Highly scalable appearance-only SLAM - FAB-MAP 2.0 RSS 2009 Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques JMLR 2009 Indian Buffet Processes with Power-law Behavior NeurIPS 2009 Individuation, Identification and Object Discovery NeurIPS 2009 Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NeurIPS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Know Thy Neighbour: A Normative Theory of Synaptic Depression NeurIPS 2009 Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NeurIPS 2009 Learning a Small Mixture of Trees NeurIPS 2009