Bayesian Inference

PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NeurIPS 2017 Performance Bounds for Graphical Record Linkage AISTATS 2017 Perturbative Black Box Variational Inference NeurIPS 2017 Poisson Random Fields for Dynamic Feature Models JMLR 2017 Post-Inference Prior Swapping ICML 2017 Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search NeurIPS 2017 Predicting Head Pose from Speech with a Conditional Variational Autoencoder Interspeech 2017 Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control ICML 2017 Preferential Bayesian Optimization ICML 2017 Principles for Learning Controllable TTS from Annotated and Latent Variation Interspeech 2017 Probabilistic Inference in Hybrid Domains IJCAI 2017 Probabilistic Line Searches for Stochastic Optimization JMLR 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Probabilistic Path Hamiltonian Monte Carlo ICML 2017 Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017 Process-constrained batch Bayesian optimisation NeurIPS 2017 Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NeurIPS 2017 Random Feature Expansions for Deep Gaussian Processes ICML 2017 Rational Distortions of Learners’ Linguistic Input CoNLL 2017 Reducing Reparameterization Gradient Variance NeurIPS 2017 Refinery: An Open Source Topic Modeling Web Platform JMLR 2017 Regret Bounds for Transfer Learning in Bayesian Optimisation AISTATS 2017 Regret for Expected Improvement over the Best-Observed Value and Stopping Condition ACML 2017 Relativistic Monte Carlo AISTATS 2017 Removing Phase Transitions from Gibbs Measures AISTATS 2017