bayesian inference

Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018 Sprucing up the trees – Error detection in treebanks COLING 2018 State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018 Stein Variational Message Passing for Continuous Graphical Models ICML 2018 Stochastic Fractional Hamiltonian Monte Carlo IJCAI 2018 Student-t Variational Autoencoder for Robust Density Estimation IJCAI 2018 Tensor Regression Meets Gaussian Processes AISTATS 2018 The Hierarchical Adaptive Forgetting Variational Filter ICML 2018 The Kanerva Machine: A Generative Distributed Memory ICLR 2018 The Promise and Perils of Myopia in Dynamic Pricing With Censored Information IJCAI 2018 The promises and pitfalls of Stochastic Gradient Langevin Dynamics NeurIPS 2018 Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies COLING 2018 Tree-based Bayesian Mixture Model for Competing Risks AISTATS 2018 Uncertainty-aware generative models for inferring document class prevalence EMNLP 2018 Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling IJCAI 2018 Variational Bayesian Monte Carlo NeurIPS 2018 Variational Sequential Monte Carlo AISTATS 2018 Wasserstein Variational Inference NeurIPS 2018 Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior NeurIPS 2018 Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NeurIPS 2018 A Bayesian Data Augmentation Approach for Learning Deep Models NeurIPS 2017 A Correlated Topic Model Using Word Embeddings IJCAI 2017 Active Exploration for Learning Symbolic Representations NeurIPS 2017 Adapting Topic Models using Lexical Associations with Tree Priors EMNLP 2017 A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017