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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012
Bayesian active learning with localized priors for fast receptive field characterization NIPS 2012
Putting Bayes to sleep NIPS 2012
Bayesian Nonparametric Modeling of Suicide Attempts NIPS 2012
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NIPS 2012
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012
Bayesian models for Large-scale Hierarchical Classification NIPS 2012
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NIPS 2012
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NIPS 2012
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NIPS 2012
Random Utility Theory for Social Choice NIPS 2012
Monte Carlo Methods for Maximum Margin Supervised Topic Models NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
Expectation Propagation in Gaussian Process Dynamical Systems NIPS 2012
A Bayesian Approach for Policy Learning from Trajectory Preference Queries NIPS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NIPS 2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NIPS 2012
Truncation-free Online Variational Inference for Bayesian Nonparametric Models NIPS 2012
Bayesian nonparametric models for bipartite graphs NIPS 2012
Practical Bayesian Optimization of Machine Learning Algorithms NIPS 2012
Multilabel Classification using Bayesian Compressed Sensing NIPS 2012
Bayesian Pedigree Analysis using Measure Factorization NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012