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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
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'25

Papers (including subtopics)

Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012
Variational Bayesian Matching ACML 2012
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012
Statistical Models for Exploring Individual Email Communication Behavior ACML 2012
Recovering Networks from Distance Data ACML 2012
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012
Learning From Ordered Sets and Applications in Collaborative Ranking ACML 2012
Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012
Adaptive Metropolis with Online Relabeling AISTATS 2012
Sample Complexity of Composite Likelihood AISTATS 2012
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012
Gaussian Processes for time-marked time-series data AISTATS 2012
Copula Network Classifiers (CNCs) AISTATS 2012
Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012
Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012
Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012
Kernel Topic Models AISTATS 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
Subset Infinite Relational Models AISTATS 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012
Lifted Linear Programming AISTATS 2012