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Bayesian Inference

4821 directly classified papers

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Papers

Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Thompson Sampling for Learning Parameterized Markov Decision Processes COLT 2015
Image Segmentation in Twenty Questions CVPR 2015
Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling JMLR 2015
Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015
pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models ICML 2015
Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix ICML 2015
Co-Saliency Detection via Looking Deep and Wide CVPR 2015
Scalable Bayesian Optimization Using Deep Neural Networks ICML 2015
Asymmetric Transfer Learning with Deep Gaussian Processes ICML 2015
Bayesian Nonparametric Covariance Regression JMLR 2015
The Libra Toolkit for Probabilistic Models JMLR 2015
Bayesian Nonparametric Crowdsourcing JMLR 2015
WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs ICCV 2015
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior JMLR 2015
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2015
A hybrid sampler for Poisson-Kingman mixture models NIPS 2015
Just Noticeable Differences in Visual Attributes ICCV 2015
Probabilistic Semi-Dense Mapping from Highly Accurate Feature-Based Monocular SLAM RSS 2015
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation NIPS 2015
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding NIPS 2015
Unlocking neural population non-stationarities using hierarchical dynamics models NIPS 2015