bayesian inference

Implicit Probabilistic Integrators for ODEs NeurIPS 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NeurIPS 2018 Instance-Specific Bayesian Network Structure Learning PGM 2018 Interactive Optimal Teaching with Unknown Learners IJCAI 2018 Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling JMLR 2018 Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018 Large-Scale Stochastic Sampling from the Probability Simplex NeurIPS 2018 Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments NeurIPS 2018 Learning and Inference in Hilbert Space with Quantum Graphical Models NeurIPS 2018 Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs NeurIPS 2018 Lightweight Probabilistic Deep Networks CVPR 2018 Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations EMNLP 2018 Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues NeurIPS 2018 Mental Sampling in Multimodal Representations NeurIPS 2018 Message Passing Stein Variational Gradient Descent ICML 2018 Meta-Learning MCMC Proposals NeurIPS 2018 Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets ALT 2018 Monoaural Audio Source Separation Using Variational Autoencoders Interspeech 2018 Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations NeurIPS 2018 Multivariate Bayesian Structural Time Series Model JMLR 2018 Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NeurIPS 2018 On Statistical Optimality of Variational Bayes AISTATS 2018 On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo ICML 2018 PAC-Bayes bounds for stable algorithms with instance-dependent priors NeurIPS 2018 Parallel and Distributed MCMC via Shepherding Distributions AISTATS 2018