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Bayesian Inference

5,566 papers

Papers per year

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Papers

Local Expectation Gradients for Black Box Variational Inference NIPS 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NIPS 2015
Unlocking neural population non-stationarities using hierarchical dynamics models NIPS 2015
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Learning Bayesian Networks with Thousands of Variables NIPS 2015
Lifted Inference Rules With Constraints NIPS 2015
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models NIPS 2015
Inference for determinantal point processes without spectral knowledge NIPS 2015
Latent Bayesian melding for integrating individual and population models NIPS 2015
Kullback-Leibler Proximal Variational Inference NIPS 2015
Automatic Variational Inference in Stan NIPS 2015
Streaming, Distributed Variational Inference for Bayesian Nonparametrics NIPS 2015
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NIPS 2015
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods NIPS 2015
Parallelizing MCMC with Random Partition Trees NIPS 2015
Probabilistic Variational Bounds for Graphical Models NIPS 2015
The Human Kernel NIPS 2015
A hybrid sampler for Poisson-Kingman mixture models NIPS 2015
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NIPS 2015
The Population Posterior and Bayesian Modeling on Streams NIPS 2015
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NIPS 2015
On some provably correct cases of variational inference for topic models NIPS 2015
Measuring Sample Quality with Stein's Method NIPS 2015
MCMC for Variationally Sparse Gaussian Processes NIPS 2015
Biologically Inspired Dynamic Textures for Probing Motion Perception NIPS 2015