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Bayesian Learning

455 directly classified papers

Papers per year

Papers

Bayesian Networks: a Combined Tuning Heuristic PGM 2016
Variational Bayes on Monte Carlo Steroids NIPS 2016
Regime Aware Learning PGM 2016
A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016
Coresets for Scalable Bayesian Logistic Regression NIPS 2016
An Empirical-Bayes Score for Discrete Bayesian Networks PGM 2016
Online Learning With Bayesian Classification Trees CVPR 2016
Student Skill Models in Adaptive Testing PGM 2016
Scalable Learning of Bayesian Network Classifiers JMLR 2016
Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016
Multiple Output Regression with Latent Noise JMLR 2016
Stable Graphical Models JMLR 2016
Bayesian group factor analysis with structured sparsity JMLR 2016
Nonparametric Network Models for Link Prediction JMLR 2016
A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews ACML 2016
Multiple Kernel Learning with Data Augmentation ACML 2016
Lifelong Learning with Non-i.i.d. Tasks NIPS 2015
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015
Decision Boundary for Discrete Bayesian Network Classifiers JMLR 2015
Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015
Curriculum Learning of Bayesian Network Structures ACML 2015
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NIPS 2015
Weight Uncertainty in Neural Network ICML 2015