conftrace_
← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
36
'05
'10
'15
'20
'25

Papers

Nonparametric Bayesian inference on multivariate exponential families NIPS 2014
Advances in Learning Bayesian Networks of Bounded Treewidth NIPS 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
Robust Bayesian Max-Margin Clustering NIPS 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014
General Table Completion using a Bayesian Nonparametric Model NIPS 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014
Random Bayesian networks with bounded indegree AISTATS 2014
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014
Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014
Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014
Tilted Variational Bayes AISTATS 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014
Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014
SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication AISTATS 2014
Adaptive Variable Clustering in Gaussian Graphical Models AISTATS 2014
Stochastic Regret Minimization via Thompson Sampling COLT 2014
Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior CVPR 2014
Beta Process Multiple Kernel Learning CVPR 2014
MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction CVPR 2014
Non-Parametric Bayesian Constrained Local Models CVPR 2014
Congruency-Based Reranking CVPR 2014