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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Copula Processes NIPS 2010
Copula Bayesian Networks NIPS 2010
Learning invariant features using the Transformed Indian Buffet Process NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NIPS 2010
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
Tree-Structured Stick Breaking for Hierarchical Data NIPS 2010
Gaussian processes with monotonicity information AISTATS 2010
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010
Construction of Dependent Dirichlet Processes based on Poisson Processes NIPS 2010
Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010
Elliptical slice sampling AISTATS 2010
Group Sparse Coding with a Laplacian Scale Mixture Prior NIPS 2010
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NIPS 2010
A Bayesian Approach to Concept Drift NIPS 2010
Bayesian Action-Graph Games NIPS 2010
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NIPS 2010
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010
Importance Sampling for Continuous Time Bayesian Networks JMLR 2010
Extended Bayesian Information Criteria for Gaussian Graphical Models NIPS 2010
Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010
Heavy-Tailed Process Priors for Selective Shrinkage NIPS 2010
Implicit Differentiation by Perturbation NIPS 2010
A rational decision making framework for inhibitory control NIPS 2010
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NIPS 2010