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Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
36
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Papers

Bayesian group factor analysis with structured sparsity JMLR 2016
Nonparametric Network Models for Link Prediction JMLR 2016
Bayesian Graphical Models for Multivariate Functional Data JMLR 2016
Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing JMLR 2016
Regime Aware Learning PGM 2016
Learning Tractable Multidimensional Bayesian Network Classifiers PGM 2016
Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016
Bayesian Networks: a Combined Tuning Heuristic PGM 2016
Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case PGM 2016
On Pruning with the MDL Score PGM 2016
Bayesian Torrent Classification by File Name and Size Only PGM 2016
Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016
Student Skill Models in Adaptive Testing PGM 2016
An Empirical-Bayes Score for Discrete Bayesian Networks PGM 2016
A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016
Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016
Infinite Factorial Dynamical Model NIPS 2015
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation NIPS 2015
Bayesian Optimization with Exponential Convergence NIPS 2015
Learning spatiotemporal trajectories from manifold-valued longitudinal data NIPS 2015
Learning Bayesian Networks with Thousands of Variables NIPS 2015
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models NIPS 2015
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making NIPS 2015
On-the-Job Learning with Bayesian Decision Theory NIPS 2015
A hybrid sampler for Poisson-Kingman mixture models NIPS 2015