Bayesian Inference

Multiple Concurrent Sound Source Tracking Based on Observation-Guided Adaptive Particle Filter Interspeech 2018 Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations NeurIPS 2018 Multivariate Bayesian Structural Time Series Model JMLR 2018 Naive Bayesian Classifiers with Extreme Probability Features PGM 2018 Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models AISTATS 2018 Neural Architecture Search with Bayesian Optimisation and Optimal Transport NeurIPS 2018 Noisy Natural Gradient as Variational Inference ICML 2018 Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NeurIPS 2018 Nonparametric Bayesian sparse graph linear dynamical systems AISTATS 2018 Nonparametric learning from Bayesian models with randomized objective functions NeurIPS 2018 Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting NeurIPS 2018 On Statistical Optimality of Variational Bayes AISTATS 2018 On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo ICML 2018 Optimal Submodular Extensions for Marginal Estimation AISTATS 2018 Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018 Orthogonally Decoupled Variational Gaussian Processes NeurIPS 2018 PAC-Bayes bounds for stable algorithms with instance-dependent priors NeurIPS 2018 PAC-Bayes Tree: weighted subtrees with guarantees NeurIPS 2018 Parallel and Distributed MCMC via Shepherding Distributions AISTATS 2018 Parallel Bayesian Network Structure Learning ICML 2018 Parallelised Bayesian Optimisation via Thompson Sampling AISTATS 2018 Parallel Probabilistic Inference by Weighted Model Counting PGM 2018 Parameterised Queries and Lifted Query Answering IJCAI 2018 Parsimonious Bayesian deep networks NeurIPS 2018 Patchwork Kriging for Large-scale Gaussian Process Regression JMLR 2018