Probabilistic Modeling

Temporal Dynamics of Cognitive Control NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Mondrian Process NeurIPS 2008 Unifying the Sensory and Motor Components of Sensorimotor Adaptation NeurIPS 2008 A Bayesian Model of Conditioned Perception NeurIPS 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis 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 A probabilistic model for generating realistic lip movements from speech NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Continuous Time Particle Filtering for fMRI 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 Efficient multiple hyperparameter learning for log-linear models NeurIPS 2007 Efficient Principled Learning of Thin Junction Trees NeurIPS 2007 Estimating disparity with confidence from energy neurons NeurIPS 2007 Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007 Experience-Guided Search: A Theory of Attentional Control NeurIPS 2007