Bayesian & Probabilistic

A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NeurIPS 2015 A Gaussian Process Model of Quasar Spectral Energy Distributions NeurIPS 2015 A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015 A hybrid sampler for Poisson-Kingman mixture models NeurIPS 2015 A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015 A Recurrent Latent Variable Model for Sequential Data NeurIPS 2015 A Reduced-Dimension fMRI Shared Response Model NeurIPS 2015 A Statistical Model of Riemannian Metric Variation for Deformable Shape Analysis CVPR 2015 A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models AISTATS 2015 A Topic Modeling Approach to Ranking AISTATS 2015 A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding NeurIPS 2015 Automatic Variational Inference in Stan NeurIPS 2015 Barrier Frank-Wolfe for Marginal Inference NeurIPS 2015 Bayesian Active Model Selection with an Application to Automated Audiometry NeurIPS 2015 Bayesian Adaptive Matrix Factorization With Automatic Model Selection CVPR 2015 Bayesian dark knowledge NeurIPS 2015 Bayesian Inference for Neighborhood Filters With Application in Denoising CVPR 2015 Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NeurIPS 2015 Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias ACML 2015 Bayesian Multiple Target Localization ICML 2015 Bayesian Optimization with Exponential Convergence NeurIPS 2015 Black-box optimization of noisy functions with unknown smoothness NeurIPS 2015 Bounding errors of Expectation-Propagation NeurIPS 2015 Bounding the Cost of Search-Based Lifted Inference NeurIPS 2015 Class-prior Estimation for Learning from Positive and Unlabeled Data ACML 2015