posterior inference

Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective IJCAI 2018 Learning Priors for Invariance AISTATS 2018 On Unifying Deep Generative Models ICLR 2018 Probabilistic Boolean Tensor Decomposition ICML 2018 Proximity Variational Inference AISTATS 2018 Random Feature Stein Discrepancies NeurIPS 2018 Semi-Implicit Variational Inference ICML 2018 Averaged Collapsed Variational Bayes Inference JMLR 2017 Bayesian Boolean Matrix Factorisation ICML 2017 Bayesian Dynamic Mode Decomposition IJCAI 2017 Bayesian Learning of Dynamic Multilayer Networks JMLR 2017 Discovering Relevance-Dependent Bicluster Structure from Relational Data IJCAI 2017 Multi-way Interacting Regression via Factorization Machines NeurIPS 2017 On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017 Post-Inference Prior Swapping ICML 2017 Unsupervised Dialogue Act Induction using Gaussian Mixtures EACL 2017 A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016 Analysis of Variational Bayesian Factorizations for Sparse and Low-Rank Estimation ICML 2016 A Variational Analysis of Stochastic Gradient Algorithms ICML 2016 Coresets for Scalable Bayesian Logistic Regression NeurIPS 2016 Diversity-Promoting Bayesian Learning of Latent Variable Models ICML 2016 DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression ICML 2016 Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NeurIPS 2016 Infinite Hidden Semi-Markov Modulated Interaction Point Process NeurIPS 2016 Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016