Bayesian Inference

A Gaussian Process Latent Variable Model for BRDF Inference ICCV 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 An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015 A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015 A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models AISTATS 2015 Asymmetric Transfer Learning with Deep Gaussian Processes ICML 2015 A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding NeurIPS 2015 A trust-region method for stochastic variational inference with applications to streaming data ICML 2015 A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data ICML 2015 Automatic Variational Inference in Stan NeurIPS 2015 Bandit Convex Optimization: \sqrtT Regret in One Dimension COLT 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 Model Adaptation for Crowd Counts ICCV 2015 Bayesian Multiple Target Localization ICML 2015 Bayesian Nonparametric Covariance Regression JMLR 2015 Bayesian Nonparametric Crowdsourcing JMLR 2015 Bayesian Sparse Representation for Hyperspectral Image Super Resolution CVPR 2015 Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs ICCV 2015 Biologically Inspired Dynamic Textures for Probing Motion Perception NeurIPS 2015 Bounding errors of Expectation-Propagation NeurIPS 2015