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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010
Inference and Learning in Networks of Queues AISTATS 2010
HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010
Bayesian Gaussian Process Latent Variable Model AISTATS 2010
A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010
State-Space Inference and Learning with Gaussian Processes AISTATS 2010
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010
Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010
Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure JMLR 2010
Continuous Time Bayesian Network Reasoning and Learning Engine JMLR 2010
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation JMLR 2010
FastInf: An Efficient Approximate Inference Library JMLR 2010
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010
Importance Sampling for Continuous Time Bayesian Networks JMLR 2010
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models JMLR 2010
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010
Gaussian Processes for Machine Learning (GPML) Toolbox JMLR 2010
Learning Non-Stationary Dynamic Bayesian Networks JMLR 2010
Probabilistic Lane Estimation using Basis Curves RSS 2010
PLISS: Detecting and Labeling Places Using Online Change-Point Detection RSS 2010
Learning models of object structure NIPS 2009
Spatial Normalized Gamma Processes NIPS 2009
Rethinking LDA: Why Priors Matter NIPS 2009
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NIPS 2009