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← Machine Learning
Machine Learning ›

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
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'25

Papers (including subtopics)

A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006
Noisy-OR Component Analysis and its Application to Link Analysis JMLR 2006
Learning Parts-Based Representations of Data JMLR 2006
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation JMLR 2006
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems JMLR 2006
Linear State-Space Models for Blind Source Separation JMLR 2006
Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005
Estimating Functions for Blind Separation When Sources Have Variance Dependencies JMLR 2005
Learning Module Networks JMLR 2005
Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005
Local Propagation in Conditional Gaussian Bayesian Networks JMLR 2005
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005
Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005
Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005
Expectation Consistent Approximate Inference JMLR 2005
Lossless Online Bayesian Bagging JMLR 2004
PAC-learnability of Probabilistic Deterministic Finite State Automata JMLR 2004
Exact Bayesian Structure Discovery in Bayesian Networks JMLR 2004
The Minimum Error Minimax Probability Machine JMLR 2004
Latent Dirichlet Allocation JMLR 2003
Learning Probabilistic Models: An Expected Utility Maximization Approach JMLR 2003
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains JMLR 2003
On Inclusion-Driven Learning of Bayesian Networks JMLR 2003
Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet JMLR 2003
A Unified Framework for Model-based Clustering JMLR 2003