Bayesian Inference

Renyi Differential Privacy Mechanisms for Posterior Sampling NeurIPS 2017 Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms AISTATS 2017 Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017 Robust Asymmetric Bayesian Adaptive Matrix Factorization IJCAI 2017 Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017 Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes NeurIPS 2017 Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior IJCNLP 2017 Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo COLT 2017 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017 Scalable Bayesian Rule Lists ICML 2017 Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data IJCAI 2017 Scalable Levy Process Priors for Spectral Kernel Learning NeurIPS 2017 Scalable Model Selection for Belief Networks NeurIPS 2017 Scalable Multi-Class Gaussian Process Classification using Expectation Propagation ICML 2017 Scalable Variational Inference for Dynamical Systems NeurIPS 2017 Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text Interspeech 2017 Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization IJCAI 2017 Shallow Updates for Deep Reinforcement Learning NeurIPS 2017 Signal-based Bayesian Seismic Monitoring AISTATS 2017 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 Simultaneous Trajectory Estimation and Planning via Probabilistic Inference RSS 2017 Soft-Bayes: Prod for Mixtures of Experts with Log-Loss ALT 2017 Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos CVPR 2017 Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs Interspeech 2017 Speech Enhancement Using Bayesian Wavenet Interspeech 2017