Bayesian & Probabilistic

A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007 A New View of Automatic Relevance Determination NeurIPS 2007 A Probabilistic Approach to Language Change NeurIPS 2007 A probabilistic model for generating realistic lip movements from speech NeurIPS 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NeurIPS 2007 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 Blind channel identification for speech dereverberation using l1-norm sparse learning NeurIPS 2007 Building Blocks for Variational Bayesian Learning of Latent Variable Models JMLR 2007 Catching Up Faster in Bayesian Model Selection and Model Averaging NeurIPS 2007 Characterizing the Function Space for Bayesian Kernel Models JMLR 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Comparing Bayesian models for multisensory cue combination without mandatory integration NeurIPS 2007 Continuous Time Particle Filtering for fMRI NeurIPS 2007 Convex Relaxations of Latent Variable Training NeurIPS 2007 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NeurIPS 2007 CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching RSS 2007 Data Association in O(n) for Divide and Conquer SLAM RSS 2007 Discovering Weakly-Interacting Factors in a Complex Stochastic Process NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007