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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017
Averaged Collapsed Variational Bayes Inference JMLR 2017
On Perturbed Proximal Gradient Algorithms JMLR 2017
Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017
Generalized Pólya Urn for Time-Varying Pitman-Yor Processes JMLR 2017
On Markov chain Monte Carlo methods for tall data JMLR 2017
Hybrid Copula Bayesian Networks PGM 2016
An equivalence between high dimensional Bayes optimal inference and M-estimation NIPS 2016
Bayesian Intermittent Demand Forecasting for Large Inventories NIPS 2016
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics NIPS 2016
Conditional Graphical Lasso for Multi-Label Image Classification CVPR 2016
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016
From Noise Modeling to Blind Image Denoising CVPR 2016
Fast Collocation-Based Bayesian HMM Word Alignment COLING 2016
Modeling topic dependencies in semantically coherent text spans with copulas COLING 2016
A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016
A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016
Structure Discovery in Bayesian Networks by Sampling Partial Orders JMLR 2016
An Information-Theoretic Analysis of Thompson Sampling JMLR 2016
Compressed Gaussian Process for Manifold Regression JMLR 2016
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models JMLR 2016
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models JMLR 2016
Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics JMLR 2016
Augmentable Gamma Belief Networks JMLR 2016