probabilistic modeling

Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NeurIPS 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008 Multi-Agent Filtering with Infinitely Nested Beliefs NeurIPS 2008 Probabilistic detection of short events, with application to critical care monitoring NeurIPS 2008 Sequential effects: Superstition or rational behavior? NeurIPS 2008 Sparse probabilistic projections NeurIPS 2008 Structured ranking learning using cumulative distribution networks NeurIPS 2008 The Mondrian Process NeurIPS 2008 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 A Bayesian Model of Conditioned Perception NeurIPS 2007 Agreement-Based Learning NeurIPS 2007 A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007 A Probabilistic Approach to Language Change NeurIPS 2007 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Efficient Inference for Distributions on Permutations NeurIPS 2007 Efficient Principled Learning of Thin Junction Trees NeurIPS 2007 Exponential Family Predictive Representations of State NeurIPS 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Relational Dependency Networks JMLR 2007 The Noisy-Logical Distribution and its Application to Causal Inference NeurIPS 2007 The Value of Labeled and Unlabeled Examples when the Model is Imperfect NeurIPS 2007 TrueSkill Through Time: Revisiting the History of Chess NeurIPS 2007 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NeurIPS 2006 A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NeurIPS 2006