gibbs sampling

Evaluating Topic Quality with Posterior Variability EMNLP 2019 Leveraging Meta Information in Short Text Aggregation ACL 2019 Metropolis-Hastings Generative Adversarial Networks ICML 2019 Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees NeurIPS 2019 Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models NeurIPS 2019 Scalable Deep Generative Relational Model with High-Order Node Dependence NeurIPS 2019 Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling ICLR 2019 Unsupervised Fake News Detection on Social Media: A Generative Approach AAAI 2019 X-DMM: Fast and Scalable Model Based Text Clustering AAAI 2019 A Reduction for Efficient LDA Topic Reconstruction NeurIPS 2018 Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018 Deep Poisson gamma dynamical systems NeurIPS 2018 Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy AISTATS 2018 High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018 HOGWILD!-Gibbs can be PanAccurate NeurIPS 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NeurIPS 2018 Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018 Meta-Learning MCMC Proposals NeurIPS 2018 Minibatch Gibbs Sampling on Large Graphical Models ICML 2018 Parsimonious Bayesian deep networks NeurIPS 2018 Reconstructing Neutral Speech from Tracheoesophageal Speech Interspeech 2018 Turing: A Language for Flexible Probabilistic Inference AISTATS 2018 A Correlated Topic Model Using Word Embeddings IJCAI 2017 An Infinite Hidden Markov Model With Similarity-Biased Transitions ICML 2017 A Word Embeddings Informed Focused Topic Model ACML 2017