Bayesian & Probabilistic

Message Passing for Max-weight Independent Set NeurIPS 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Modeling image patches with a directed hierarchy of Markov random fields NeurIPS 2007 Multi-task Gaussian Process Prediction NeurIPS 2007 Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NeurIPS 2007 Neural characterization in partially observed populations of spiking neurons NeurIPS 2007 New Outer Bounds on the Marginal Polytope NeurIPS 2007 Non-parametric Modeling of Partially Ranked Data NeurIPS 2007 Object Recognition by Scene Alignment NeurIPS 2007 On Sparsity and Overcompleteness in Image Models NeurIPS 2007 Optimal models of sound localization by barn owls NeurIPS 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Privacy-Preserving Belief Propagation and Sampling NeurIPS 2007 Probabilistic Matrix Factorization NeurIPS 2007 Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NeurIPS 2007 Relational Dependency Networks JMLR 2007 Robust Regression with Twinned Gaussian Processes NeurIPS 2007 Sequential Hypothesis Testing under Stochastic Deadlines NeurIPS 2007 Sparse deep belief net model for visual area V2 NeurIPS 2007 Spatial Latent Dirichlet Allocation NeurIPS 2007 Supervised Topic Models NeurIPS 2007 The Generalized FITC Approximation NeurIPS 2007 The Infinite Gamma-Poisson Feature Model NeurIPS 2007 The Infinite Markov Model NeurIPS 2007 The Noisy-Logical Distribution and its Application to Causal Inference NeurIPS 2007