Bayesian Learning

Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018 Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018 Bayesian Nonparametric Spectral Estimation NeurIPS 2018 Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC NeurIPS 2018 Bayesian Structure Learning for Dynamic Brain Connectivity AISTATS 2018 Bayesian Trees for Automated Cytometry Data Analysis MLHC 2018 Bayesian Uncertainty Estimation for Batch Normalized Deep Networks ICML 2018 Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization ICML 2018 Computationally and statistically efficient learning of causal Bayes nets using path queries NeurIPS 2018 Constructing Deep Neural Networks by Bayesian Network Structure Learning NeurIPS 2018 Covariances, Robustness, and Variational Bayes JMLR 2018 Deep Neural Networks as Gaussian Processes ICLR 2018 Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation NeurIPS 2018 Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification NeurIPS 2018 Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings Interspeech 2018 Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback IJCAI 2018 Efficient Bayesian Methods for Counting Processes in Partially Observable Environments AISTATS 2018 ELFI: Engine for Likelihood-Free Inference JMLR 2018 Fast Estimation of Causal Interactions using Wold Processes NeurIPS 2018 Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches ICLR 2018 Gaussian Process Conditional Density Estimation NeurIPS 2018 Generalizing Hamiltonian Monte Carlo with Neural Networks ICLR 2018 High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018 Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo NeurIPS 2018 Instance-Specific Bayesian Network Structure Learning PGM 2018