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Bayesian Inference

5,566 papers

Papers per year

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522
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Papers

Sparsity and the Truncated $l^2$-norm AISTATS 2014
Pan-sharpening with a Bayesian nonparametric dictionary learning model AISTATS 2014
Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014
Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014
Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014
Fully-Automatic Bayesian Piecewise Sparse Linear Models AISTATS 2014
Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014
Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014
Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014
Tilted Variational Bayes AISTATS 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Latent Gaussian Models for Topic Modeling AISTATS 2014
Near Optimal Bayesian Active Learning for Decision Making AISTATS 2014
A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014
Scalable Variational Bayesian Matrix Factorization with Side Information AISTATS 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014
PAC-Bayesian Collective Stability AISTATS 2014
Active Area Search via Bayesian Quadrature AISTATS 2014
The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling AISTATS 2014
Robust Forward Algorithms via PAC-Bayes and Laplace Distributions AISTATS 2014
Joint Structure Learning of Multiple Non-Exchangeable Networks AISTATS 2014
Scaling Nonparametric Bayesian Inference via Subsample-Annealing AISTATS 2014