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Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
36
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Papers

Parallel Algorithm for Learning Optimal Bayesian Network Structure JMLR 2011
Convergence Rates of Efficient Global Optimization Algorithms JMLR 2011
Extended Bayesian Information Criteria for Gaussian Graphical Models NIPS 2010
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NIPS 2010
Near-Optimal Bayesian Active Learning with Noisy Observations NIPS 2010
Copula Bayesian Networks NIPS 2010
Group Sparse Coding with a Laplacian Scale Mixture Prior NIPS 2010
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NIPS 2010
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NIPS 2010
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NIPS 2010
Exact learning curves for Gaussian process regression on large random graphs NIPS 2010
Gaussian Process Preference Elicitation NIPS 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NIPS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
A rational decision making framework for inhibitory control NIPS 2010
Implicit Differentiation by Perturbation NIPS 2010
A Bayesian Framework for Figure-Ground Interpretation NIPS 2010
Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NIPS 2010
Bayesian Action-Graph Games NIPS 2010
Heavy-Tailed Process Priors for Selective Shrinkage NIPS 2010
A Bayesian Approach to Concept Drift NIPS 2010
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NIPS 2010