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Bayesian Inference

4821 directly classified papers

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Papers

A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles NIPS 2013
Minimum Uncertainty Gap for Robust Visual Tracking CVPR 2013
Integrated Non-Factorized Variational Inference NIPS 2013
Learning Gaussian Graphical Models with Observed or Latent FVSs NIPS 2013
Inferring neural population dynamics from multiple partial recordings of the same neural circuit NIPS 2013
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013
Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction CVPR 2013
Demixing odors - fast inference in olfaction NIPS 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NIPS 2013
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013
Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model CVPR 2013
General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013
Thompson Sampling for 1-Dimensional Exponential Family Bandits NIPS 2013
Bayesian Canonical Correlation Analysis JMLR 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods AISTATS 2013
What do row and column marginals reveal about your dataset? NIPS 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NIPS 2013
Generalized Random Utility Models with Multiple Types NIPS 2013
Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013