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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)

Collective Graphical Models NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
An ideal observer model for identifying the reference frame of objects NIPS 2011
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011
Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011
Polytope samplers for inference in ill-posed inverse problems AISTATS 2011
Switch-Reset Models : Exact and Approximate Inference AISTATS 2011
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011
Multiscale Community Blockmodel for Network Exploration AISTATS 2011
Approximate inference for the loss-calibrated Bayesian AISTATS 2011
Hidden-Unit Conditional Random Fields AISTATS 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011
Mixed Cumulative Distribution Networks AISTATS 2011
Asymptotic Theory for Linear-Chain Conditional Random Fields AISTATS 2011
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011
Kernel Belief Propagation AISTATS 2011
The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011
Bayesian Generalized Kernel Mixed Models JMLR 2011
Logistic Stick-Breaking Process JMLR 2011
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs JMLR 2011
Faster Algorithms for Max-Product Message-Passing JMLR 2011
Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes JMLR 2011
Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011