Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
5
7
4
9
71
90
96
90
127
113
152
198
196
168
213
197
273
389
460
470
455
481
482
385
273
2000
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'25
Papers (including subtopics)
The rat as particle filter
NeurIPS 2007
The Value of Labeled and Unlabeled Examples when the Model is Imperfect
NeurIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
NeurIPS 2007
TrueSkill Through Time: Revisiting the History of Chess
NeurIPS 2007
Truncating the Loop Series Expansion for Belief Propagation
JMLR 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
NeurIPS 2007
Variational Inference for Diffusion Processes
NeurIPS 2007
Variational inference for Markov jump processes
NeurIPS 2007
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time
NeurIPS 2006
Accelerated Variational Dirichlet Process Mixtures
NeurIPS 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
NeurIPS 2006
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
NeurIPS 2006
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization
NeurIPS 2006
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments
NeurIPS 2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments
NeurIPS 2006
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems
NeurIPS 2006
A PAC-Bayes Risk Bound for General Loss Functions
NeurIPS 2006
Approximate inference using planar graph decomposition
NeurIPS 2006
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data
NeurIPS 2006
A Probabilistic Exemplar Approach to Combine Laser and Vision for Person Tracking
RSS 2006
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests
JMLR 2006
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo
NeurIPS 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure
NeurIPS 2006
Bayesian Ensemble Learning
NeurIPS 2006
Bayesian Image Super-resolution, Continued
NeurIPS 2006