bayesian inference

Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution CVPR 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013 Context-sensitive active sensing in humans NeurIPS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Dynamic Covariance Models for Multivariate Financial Time Series ICML 2013 Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013 Efficiently Sampling Probabilistic Programs via Program Analysis AISTATS 2013 Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013 Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013 Exploiting the Power of Stereo Confidences CVPR 2013 Exploring the Mind: Integrating Questionnaires and fMRI ICML 2013 Factorized Asymptotic Bayesian Inference for Latent Feature Models NeurIPS 2013 Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013 Fast Near-GRID Gaussian Process Regression AISTATS 2013 Flexible sampling of discrete data correlations without the marginal distributions NeurIPS 2013 Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013 Gaussian Process Conditional Copulas with Applications to Financial Time Series NeurIPS 2013 Gaussian Process Vine Copulas for Multivariate Dependence ICML 2013 Generalized Random Utility Models with Multiple Types NeurIPS 2013 Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation JMLR 2013 Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013 GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013 Inferring "Dark Matter" and "Dark Energy" from Videos ICCV 2013 Integrated Non-Factorized Variational Inference NeurIPS 2013