Probabilistic Modeling

Topology Constraints in Graphical Models NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Unsupervised Structure Discovery for Semantic Analysis of Audio NeurIPS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Variational Multinomial Logit Gaussian Process JMLR 2012 Accelerated Adaptive Markov Chain for Partition Function Computation NeurIPS 2011 A Global Structural EM Algorithm for a Model of Cancer Progression NeurIPS 2011 A Model for Temporal Dependencies in Event Streams NeurIPS 2011 An Application of Tree-Structured Expectation Propagation for Channel Decoding NeurIPS 2011 Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NeurIPS 2011 An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NeurIPS 2011 A rational model of causal inference with continuous causes NeurIPS 2011 Asymptotic Theory for Linear-Chain Conditional Random Fields AISTATS 2011 Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NeurIPS 2011 Bayesian Generalized Kernel Mixed Models JMLR 2011 Collective Graphical Models NeurIPS 2011 Complexity of Inference in Latent Dirichlet Allocation NeurIPS 2011 Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011 Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011 Confidence Sets for Network Structure NeurIPS 2011 Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs JMLR 2011 Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011 Dynamical segmentation of single trials from population neural data NeurIPS 2011 Efficient inference in matrix-variate Gaussian models with \iid observation noise NeurIPS 2011