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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)

Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012
Learning with Target Prior NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012
Affine Independent Variational Inference NIPS 2012
Entangled Monte Carlo NIPS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Bayesian Pedigree Analysis using Measure Factorization NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Multilabel Classification using Bayesian Compressed Sensing NIPS 2012
Online Sum-Product Computation Over Trees NIPS 2012
Expectation Propagation in Gaussian Process Dynamical Systems NIPS 2012
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NIPS 2012
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NIPS 2012
On Lifting the Gibbs Sampling Algorithm NIPS 2012
Gaussian Processes for time-marked time-series data AISTATS 2012
Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012
Kernel Topic Models AISTATS 2012
Subset Infinite Relational Models AISTATS 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012