Bayesian Inference

Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors NeurIPS 2018 Bayesian Model Selection for Change Point Detection and Clustering ICML 2018 Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018 Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling AISTATS 2018 Bayesian Nonparametric Spectral Estimation NeurIPS 2018 Bayesian Optimization of Combinatorial Structures ICML 2018 Bayesian Quadrature for Multiple Related Integrals ICML 2018 Bayesian Structure Learning by Recursive Bootstrap NeurIPS 2018 Bayesian Tactile Exploration for Compliant Docking With Uncertain Shapes RSS 2018 Bayesian Trees for Automated Cytometry Data Analysis MLHC 2018 Beauty-in-averageness and its contextual modulations: A Bayesian statistical account NeurIPS 2018 Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NeurIPS 2018 BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018 BOHB: Robust and Efficient Hyperparameter Optimization at Scale ICML 2018 Boosting Black Box Variational Inference NeurIPS 2018 Boosting Variational Inference: an Optimization Perspective AISTATS 2018 BRUNO: A Deep Recurrent Model for Exchangeable Data NeurIPS 2018 Bucket Renormalization for Approximate Inference ICML 2018 Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization ICML 2018 Clustering Induced Kernel Learning ACML 2018 Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus IJCAI 2018 Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018 Constant-Time Predictive Distributions for Gaussian Processes ICML 2018 Constraining the Dynamics of Deep Probabilistic Models ICML 2018 Contact-Aided Invariant Extended Kalman Filtering for Legged Robot State Estimation RSS 2018