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gibbs sampling

201 papers

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bayesian inference (1907) markov chain monte carlo (725) bayesian nonparametrics (270) variational inference (2069) topic model (290) dirichlet process (132) gibbs sampler (37) graphical model (864) topic modeling (461) nonparametric bayesian (124)

Papers

Deep Topic Models for Multi-label Learning AISTATS 2019
Evaluating Topic Quality with Posterior Variability IJCNLP 2019
Metropolis-Hastings Generative Adversarial Networks ICML 2019
Scalable Deep Generative Relational Model with High-Order Node Dependence NIPS 2019
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees NIPS 2019
Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018
A Reduction for Efficient LDA Topic Reconstruction NIPS 2018
Reconstructing Neutral Speech from Tracheoesophageal Speech INTERSPEECH 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018
HOGWILD!-Gibbs can be PanAccurate NIPS 2018
Deep Poisson gamma dynamical systems NIPS 2018
Turing: A Language for Flexible Probabilistic Inference AISTATS 2018
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018
Parsimonious Bayesian deep networks NIPS 2018
Minibatch Gibbs Sampling on Large Graphical Models ICML 2018
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NIPS 2018
Meta-Learning MCMC Proposals NIPS 2018
Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy AISTATS 2018
A Correlated Topic Model Using Word Embeddings IJCAI 2017
Bayesian Boolean Matrix Factorisation ICML 2017
Multi-way Interacting Regression via Factorization Machines NIPS 2017
An Infinite Hidden Markov Model With Similarity-Biased Transitions ICML 2017
XOR-Sampling for Network Design with Correlated Stochastic Events IJCAI 2017
Discriminative Bayesian Nonparametric Clustering IJCAI 2017
Leveraging Node Attributes for Incomplete Relational Data ICML 2017