Bayesian & Probabilistic

Psychiatry: Insights into depression through normative decision-making models NeurIPS 2008 Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NeurIPS 2008 Sequential effects: Superstition or rational behavior? NeurIPS 2008 Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NeurIPS 2008 Sparse Convolved Gaussian Processes for Multi-output Regression NeurIPS 2008 Sparse probabilistic projections NeurIPS 2008 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 Structure Learning in Human Sequential Decision-Making NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 Temporal Dynamics of Cognitive Control NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Infinite Hierarchical Factor Regression Model NeurIPS 2008 The Mondrian Process NeurIPS 2008 Unifying the Sensory and Motor Components of Sensorimotor Adaptation NeurIPS 2008 Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 A Bayesian Framework for Cross-Situational Word-Learning NeurIPS 2007 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 A Bayesian Model of Conditioned Perception NeurIPS 2007 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 Agreement-Based Learning NeurIPS 2007 A neural network implementing optimal state estimation based on dynamic spike train decoding NeurIPS 2007