probabilistic modeling

Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012 Causal discovery with scale-mixture model for spatiotemporal variance dependencies NeurIPS 2012 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences JMLR 2012 Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NeurIPS 2012 Learning from the Wisdom of Crowds by Minimax Entropy NeurIPS 2012 Learning with Target Prior NeurIPS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Multiresolution Mixture Modeling using Merging of Mixture Components ACML 2012 Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012 On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Probabilistic Low-Rank Subspace Clustering NeurIPS 2012 Probabilistic n-Choose-k Models for Classification and Ranking NeurIPS 2012 Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs AISTATS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Recognizing Activities by Attribute Dynamics NeurIPS 2012 Semi-Supervised Domain Adaptation with Non-Parametric Copulas NeurIPS 2012 Topology Constraints in Graphical Models NeurIPS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 A Global Structural EM Algorithm for a Model of Cancer Progression NeurIPS 2011 Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NeurIPS 2011