Bayesian & Probabilistic

Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008 A general framework for investigating how far the decoding process in the brain can be simplified NeurIPS 2008 A mixture model for the evolution of gene expression in non-homogeneous datasets NeurIPS 2008 Analyzing human feature learning as nonparametric Bayesian inference NeurIPS 2008 An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NeurIPS 2008 A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NeurIPS 2008 Asynchronous Distributed Learning of Topic Models NeurIPS 2008 Bayesian Exponential Family PCA NeurIPS 2008 Bayesian Kernel Shaping for Learning Control NeurIPS 2008 Bayesian Model of Behaviour in Economic Games NeurIPS 2008 Bayesian Network Score Approximation using a Metagraph Kernel NeurIPS 2008 Bayesian Synchronous Grammar Induction NeurIPS 2008 Characterizing neural dependencies with copula models NeurIPS 2008 Characterizing response behavior in multisensory perception with conflicting cues NeurIPS 2008 Continuously-adaptive discretization for message-passing algorithms NeurIPS 2008 Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NeurIPS 2008 Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NeurIPS 2008 Dependent Dirichlet Process Spike Sorting NeurIPS 2008 Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NeurIPS 2008 Efficient Exact Inference in Planar Ising Models NeurIPS 2008 Efficient Inference in Phylogenetic InDel Trees NeurIPS 2008 Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Exact Convex Confidence-Weighted Learning NeurIPS 2008