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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Hierarchical Learning of Dimensional Biases in Human Categorization NIPS 2009
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing NIPS 2009
Sequential effects reflect parallel learning of multiple environmental regularities NIPS 2009
Particle-based Variational Inference for Continuous Systems NIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009
Learning with Compressible Priors NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization NIPS 2009
Help or Hinder: Bayesian Models of Social Goal Inference NIPS 2009
Bayesian Nonparametric Models on Decomposable Graphs NIPS 2009
The Wisdom of Crowds in the Recollection of Order Information NIPS 2009
Sharing Features among Dynamical Systems with Beta Processes NIPS 2009
Nonparametric Latent Feature Models for Link Prediction NIPS 2009
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NIPS 2009
Linearly constrained Bayesian matrix factorization for blind source separation NIPS 2009
Bayesian Belief Polarization NIPS 2009
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NIPS 2009
Modeling the spacing effect in sequential category learning NIPS 2009
Sparse Estimation Using General Likelihoods and Non-Factorial Priors NIPS 2009
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NIPS 2009
Gaussian process regression with Student-t likelihood NIPS 2009
Non-stationary continuous dynamic Bayesian networks NIPS 2009
Rethinking LDA: Why Priors Matter NIPS 2009
Spatial Normalized Gamma Processes NIPS 2009
Modeling human function learning with Gaussian processes NIPS 2008
Improving on Expectation Propagation NIPS 2008