Bayesian & Probabilistic
4,733 papers (2 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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14
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10
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79
95
142
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184
213
208
164
201
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276
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411
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Papers (including subtopics)
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
NeurIPS 2009
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora
NeurIPS 2009
Discriminative Network Models of Schizophrenia
NeurIPS 2009
Distributed Algorithms for Topic Models
JMLR 2009
Estimating image bases for visual image reconstruction from human brain activity
NeurIPS 2009
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
NeurIPS 2009
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
NeurIPS 2009
Exponential Family Graph Matching and Ranking
NeurIPS 2009
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
NeurIPS 2009
Factor Modeling for Advertisement Targeting
NeurIPS 2009
Free energy score space
NeurIPS 2009
From PAC-Bayes Bounds to KL Regularization
NeurIPS 2009
Gaussian process regression with Student-t likelihood
NeurIPS 2009
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes
NeurIPS 2009
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
NeurIPS 2009
Hierarchical Learning of Dimensional Biases in Human Categorization
NeurIPS 2009
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
NeurIPS 2009
Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions
NeurIPS 2009
Improving Existing Fault Recovery Policies
NeurIPS 2009
Indian Buffet Processes with Power-law Behavior
NeurIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
NeurIPS 2009
Kernels and learning curves for Gaussian process regression on random graphs
NeurIPS 2009
Know Thy Neighbour: A Normative Theory of Synaptic Depression
NeurIPS 2009
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
NeurIPS 2009
Learning a Small Mixture of Trees
NeurIPS 2009