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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Bayesian Nonparametric Crowdsourcing JMLR 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NIPS 2015
The Poisson Gamma Belief Network NIPS 2015
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number NIPS 2015
Atomic Spatial Processes ICML 2015
Learning Bayesian Networks with Thousands of Variables NIPS 2015
Infinite Factorial Dynamical Model NIPS 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
Exact Bayesian Learning of Ancestor Relations in Bayesian Networks AISTATS 2015
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making NIPS 2015
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation NIPS 2015
Latent feature regression for multivariate count data AISTATS 2015
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015
Large-scale Distributed Dependent Nonparametric Trees ICML 2015
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015
Face Alignment Using Cascade Gaussian Process Regression Trees CVPR 2015
On-the-Job Learning with Bayesian Decision Theory NIPS 2015
Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs JMLR 2014
Skip Context Tree Switching ICML 2014
Scalable and Robust Bayesian Inference via the Median Posterior ICML 2014
Stochastic Regret Minimization via Thompson Sampling COLT 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
Advances in Learning Bayesian Networks of Bounded Treewidth NIPS 2014