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

Particle Gibbs for Infinite Hidden Markov Models NIPS 2015
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number NIPS 2015
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NIPS 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NIPS 2015
Segregated Graphs and Marginals of Chain Graph Models NIPS 2015
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NIPS 2015
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NIPS 2015
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NIPS 2015
Copula variational inference NIPS 2015
The Poisson Gamma Belief Network NIPS 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
Exact Bayesian Learning of Ancestor Relations in Bayesian Networks AISTATS 2015
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015
Latent feature regression for multivariate count data AISTATS 2015
Reactive bandits with attitude AISTATS 2015
Gamma Processes, Stick-Breaking, and Variational Inference AISTATS 2015
Falling Rule Lists AISTATS 2015
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015
Face Alignment Using Cascade Gaussian Process Regression Trees CVPR 2015
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis ICCV 2015
Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition ICCV 2015
Bayesian Non-Parametric Inference for Manifold Based MoCap Representation ICCV 2015
Atomic Spatial Processes ICML 2015
DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics ICML 2015
Bayesian and Empirical Bayesian Forests ICML 2015