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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NIPS 2013
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Message passing with l1 penalized KL minimization ICML 2013
The Most Generative Maximum Margin Bayesian Networks ICML 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013
Exploring the Mind: Integrating Questionnaires and fMRI ICML 2013
Adaptive Sparsity in Gaussian Graphical Models ICML 2013
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013
Fast Probabilistic Optimization from Noisy Gradients ICML 2013
Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality JMLR 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NIPS 2013
Lexical and Hierarchical Topic Regression NIPS 2013
First-order Decomposition Trees NIPS 2013
Memoized Online Variational Inference for Dirichlet Process Mixture Models NIPS 2013
Discriminative Transfer Learning with Tree-based Priors NIPS 2013
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NIPS 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NIPS 2013
Demixing odors - fast inference in olfaction NIPS 2013
Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NIPS 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NIPS 2013
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NIPS 2013
Smooth Operators ICML 2013
Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013