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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Nonparametric Bayesian inference on multivariate exponential families NIPS 2014
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NIPS 2014
Incremental Local Gaussian Regression NIPS 2014
Gaussian Process Volatility Model NIPS 2014
Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NIPS 2014
Non-Parametric Bayesian Constrained Local Models CVPR 2014
A Bayesian Framework for Online Classifier Ensemble ICML 2014
Beta Process Multiple Kernel Learning CVPR 2014
Congruency-Based Reranking CVPR 2014
Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior CVPR 2014
Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014
Tilted Variational Bayes AISTATS 2014
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014
Random Bayesian networks with bounded indegree AISTATS 2014
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014
Gibbs Max-margin Topic Models with Data Augmentation JMLR 2014
A reversible infinite HMM using normalised random measures ICML 2014
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014
Learning the Irreducible Representations of Commutative Lie Groups ICML 2014
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014
Learning Modular Structures from Network Data and Node Variables ICML 2014
Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014