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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
'05
'10
'15
'20
'25

Papers (including subtopics)

Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields NIPS 2006
Learning to parse images of articulated bodies NIPS 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006
Mixture Regression for Covariate Shift NIPS 2006
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NIPS 2006
Clustering Under Prior Knowledge with Application to Image Segmentation NIPS 2006
Inferring Network Structure from Co-Occurrences NIPS 2006
Uncertainty, phase and oscillatory hippocampal recall NIPS 2006
Learning Structural Equation Models for fMRI NIPS 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
Multi-dynamic Bayesian Networks NIPS 2006
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NIPS 2006
Conditional mean field NIPS 2006
A PAC-Bayes Risk Bound for General Loss Functions NIPS 2006
Distributed Inference in Dynamical Systems NIPS 2006
Modelling transcriptional regulation using Gaussian Processes NIPS 2006
Relational Learning with Gaussian Processes NIPS 2006
Generalized Bradley-Terry Models and Multi-Class Probability Estimates JMLR 2006
Segmental Hidden Markov Models with Random Effects for Waveform Modeling JMLR 2006
Linear Programs for Hypotheses Selection in Probabilistic Inference Models JMLR 2006
Bayesian Network Learning with Parameter Constraints JMLR 2006
Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006
A Linear Non-Gaussian Acyclic Model for Causal Discovery JMLR 2006
Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006