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Bayesian Learning

455 directly classified papers

Papers per year

Papers

Exact Convex Confidence-Weighted Learning NIPS 2008
The Infinite Factorial Hidden Markov Model NIPS 2008
The Mondrian Process NIPS 2008
Model selection and velocity estimation using novel priors for motion patterns NIPS 2008
Modeling human function learning with Gaussian processes NIPS 2008
Hierarchical Fisher Kernels for Longitudinal Data NIPS 2008
The Infinite Hierarchical Factor Regression Model NIPS 2008
Syntactic Topic Models NIPS 2008
Bayesian Kernel Shaping for Learning Control NIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
Structure Learning in Human Sequential Decision-Making NIPS 2008
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NIPS 2008
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007
Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007
Bayesian Co-Training NIPS 2007
A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007
Integrating Naïve Bayes and FOIL JMLR 2007
The Infinite Markov Model NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NIPS 2007