conftrace_
← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
36
'05
'10
'15
'20
'25

Papers

HyPE: Hybrid Particle-Element Approach for Recursive Bayesian Searching and Tracking RSS 2008
A Bayesian Model of Conditioned Perception NIPS 2007
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NIPS 2007
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NIPS 2007
Multi-task Gaussian Process Prediction NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Variational inference for Markov jump processes NIPS 2007
On Sparsity and Overcompleteness in Image Models NIPS 2007
A Bayesian LDA-based model for semi-supervised part-of-speech tagging NIPS 2007
Efficient Bayesian Inference for Dynamically Changing Graphs NIPS 2007
Markov Chain Monte Carlo with People NIPS 2007
Hidden Common Cause Relations in Relational Learning NIPS 2007
The Generalized FITC Approximation NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
Sequential Hypothesis Testing under Stochastic Deadlines NIPS 2007
TrueSkill Through Time: Revisiting the History of Chess NIPS 2007