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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016
Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016
Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016
Statistical Matching of Discrete Data by Bayesian Networks PGM 2016
Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016
Variational Bayes on Monte Carlo Steroids NIPS 2016
Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016
The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks ICML 2016
Estimating Accuracy from Unlabeled Data: A Bayesian Approach ICML 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling ICML 2016
On collapsed representation of hierarchical Completely Random Measures ICML 2016
Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016
A Kernel Test of Goodness of Fit ICML 2016
Interacting Particle Markov Chain Monte Carlo ICML 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016
Slice Sampling on Hamiltonian Trajectories ICML 2016
Observational-Interventional Priors for Dose-Response Learning NIPS 2016
Sampling for Bayesian Program Learning NIPS 2016
Stochastic Gradient MCMC with Stale Gradients NIPS 2016
Solving Marginal MAP Problems with NP Oracles and Parity Constraints NIPS 2016
Variance Reduction in Stochastic Gradient Langevin Dynamics NIPS 2016
Poisson-Gamma dynamical systems NIPS 2016
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling NIPS 2016