bayesian inference

Distributed Flexible Nonlinear Tensor Factorization NeurIPS 2016 Diversity-Promoting Bayesian Learning of Latent Variable Models ICML 2016 Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016 Eliciting Categorical Data for Optimal Aggregation NeurIPS 2016 Estimating Accuracy from Unlabeled Data: A Bayesian Approach ICML 2016 Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks PGM 2016 Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics JMLR 2016 Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation COLING 2016 Extending the Use of Adaptor Grammars for Unsupervised Morphological Segmentation of Unseen Languages COLING 2016 Fast Collocation-Based Bayesian HMM Word Alignment COLING 2016 ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission ICML 2016 Gaussian Processes for Survival Analysis NeurIPS 2016 Globally Sparse Probabilistic PCA AISTATS 2016 Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016 Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework CVPR 2016 Learning Tractable Multidimensional Bayesian Network Classifiers PGM 2016 Learning under uncertainty: a comparison between R-W and Bayesian approach NeurIPS 2016 MCMC Shape Sampling for Image Segmentation With Nonparametric Shape Priors CVPR 2016 Measuring the reliability of MCMC inference with bidirectional Monte Carlo NeurIPS 2016 Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis CVPR 2016 Modeling topic dependencies in semantically coherent text spans with copulas COLING 2016 Multiple Output Regression with Latent Noise JMLR 2016 Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models NeurIPS 2016 Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo AISTATS 2016 Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016