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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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Papers (including subtopics)

Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NIPS 2014
Content-based recommendations with Poisson factorization NIPS 2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference NIPS 2014
Parallel Sampling of HDPs using Sub-Cluster Splits NIPS 2014
Automated Variational Inference for Gaussian Process Models NIPS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NIPS 2014
Tree-structured Gaussian Process Approximations NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Information-based learning by agents in unbounded state spaces NIPS 2014
Bayesian Inference for Structured Spike and Slab Priors NIPS 2014
Expectation-Maximization for Learning Determinantal Point Processes NIPS 2014
Sensory Integration and Density Estimation NIPS 2014
Extended and Unscented Gaussian Processes NIPS 2014
Distributed Bayesian Posterior Sampling via Moment Sharing NIPS 2014
Optimal decision-making with time-varying evidence reliability NIPS 2014
Incremental Local Gaussian Regression NIPS 2014
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NIPS 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning NIPS 2014
Mind the Nuisance: Gaussian Process Classification using Privileged Noise NIPS 2014
Nonparametric Bayesian inference on multivariate exponential families NIPS 2014
Advances in Learning Bayesian Networks of Bounded Treewidth NIPS 2014
Subspace Embeddings for the Polynomial Kernel NIPS 2014
Smoothed Gradients for Stochastic Variational Inference NIPS 2014