Probabilistic Modeling

Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012 Nonparanormal Belief Propagation (NPNBP) NeurIPS 2012 On Lifting the Gibbs Sampling Algorithm NeurIPS 2012 Online Sum-Product Computation Over Trees NeurIPS 2012 Perfect Dimensionality Recovery by Variational Bayesian PCA NeurIPS 2012 Persistent Homology for Learning Densities with Bounded Support NeurIPS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis AISTATS 2012 Probabilistic Event Cascades for Alzheimer's disease NeurIPS 2012 Probabilistic Low-Rank Subspace Clustering NeurIPS 2012 Probabilistic Modeling of Human Movements for Intention Inference RSS 2012 Probabilistic n-Choose-k Models for Classification and Ranking NeurIPS 2012 Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NeurIPS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Randomized Optimum Models for Structured Prediction AISTATS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Semiparametric Principal Component Analysis NeurIPS 2012 Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012 Slice Normalized Dynamic Markov Logic Networks NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NeurIPS 2012 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NeurIPS 2012 Subset Infinite Relational Models AISTATS 2012 The Bethe Partition Function of Log-supermodular Graphical Models NeurIPS 2012 The Perturbed Variation NeurIPS 2012