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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)

Privacy-Preserving Belief Propagation and Sampling NIPS 2007
Bayesian Co-Training NIPS 2007
Probabilistic Matrix Factorization NIPS 2007
Agreement-Based Learning NIPS 2007
A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007
A neural network implementing optimal state estimation based on dynamic spike train decoding NIPS 2007
Spatial Latent Dirichlet Allocation NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
The rat as particle filter NIPS 2007
Non-parametric Modeling of Partially Ranked Data NIPS 2007
Building Blocks for Variational Bayesian Learning of Latent Variable Models JMLR 2007
Integrating Naïve Bayes and FOIL JMLR 2007
Relational Dependency Networks JMLR 2007
Loop Corrections for Approximate Inference on Factor Graphs JMLR 2007
Characterizing the Function Space for Bayesian Kernel Models JMLR 2007
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007
Truncating the Loop Series Expansion for Belief Propagation JMLR 2007
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders RSS 2007
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching RSS 2007
Data Association in O(n) for Divide and Conquer SLAM RSS 2007
Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NIPS 2006
Multiple timescales and uncertainty in motor adaptation NIPS 2006