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Bayesian Inference

5,566 papers

Papers per year

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176
522
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Papers

Reconciling "priors" & "priors" without prejudice? NIPS 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning NIPS 2013
Message Passing Inference with Chemical Reaction Networks NIPS 2013
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NIPS 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Spike train entropy-rate estimation using hierarchical Dirichlet process priors NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
First-order Decomposition Trees NIPS 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013
Lexical and Hierarchical Topic Regression NIPS 2013
A simple example of Dirichlet process mixture inconsistency for the number of components NIPS 2013
Bayesian entropy estimation for binary spike train data using parametric prior knowledge NIPS 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NIPS 2013
Blind Calibration in Compressed Sensing using Message Passing Algorithms NIPS 2013
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NIPS 2013
Bayesian learning of joint distributions of objects AISTATS 2013
Diagonal Orthant Multinomial Probit Models AISTATS 2013
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods AISTATS 2013
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013
Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013
Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013
Efficiently Sampling Probabilistic Programs via Program Analysis AISTATS 2013
Computing the M Most Probable Modes of a Graphical Model AISTATS 2013
Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013
Deep Gaussian Processes AISTATS 2013