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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles JMLR 2016
Bayesian Graphical Models for Multivariate Functional Data JMLR 2016
Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling JMLR 2016
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016
Stochastic Variational Inference for the HDP-HMM AISTATS 2016
Scalable MCMC for Mixed Membership Stochastic Blockmodels AISTATS 2016
Enumerating Equivalence Classes of Bayesian Networks using EC Graphs AISTATS 2016
Hawkes Processes with Stochastic Excitations ICML 2016
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words COLING 2016
Reintroducing Credal Networks under Epistemic Irrelevance PGM 2016
Bayesian Torrent Classification by File Name and Size Only PGM 2016
Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks PGM 2016
d-VMP: Distributed Variational Message Passing PGM 2016
Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks PGM 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016
Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks PGM 2016
Likelihood Ratio Calculation in Acoustic-Phonetic Forensic Voice Comparison: Comparison of Three Statistical Modelling Approaches INTERSPEECH 2016
An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators INTERSPEECH 2016
Maximum a posteriori Based Decoding for CTC Acoustic Models INTERSPEECH 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests ICML 2016
Optimality of Belief Propagation for Crowdsourced Classification ICML 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm NIPS 2016
Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016