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Bayesian Inference

6,267 papers

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Papers

Gaussian Kullback-Leibler Approximate Inference JMLR 2013 Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System RSS 2013 Gaussian Process Conditional Copulas with Applications to Financial Time Series NeurIPS 2013 Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013 Generalized Random Utility Models with Multiple Types NeurIPS 2013 Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation JMLR 2013 General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013 Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013 Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013 GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013 Hierarchical Tensor Decomposition of Latent Tree Graphical Models ICML 2013 High-Dimensional Gaussian Process Bandits NeurIPS 2013 Illuminant Chromaticity from Image Sequences ICCV 2013 Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes CVPR 2013 Inference algorithms for pattern-based CRFs on sequence data ICML 2013 Inferring neural population dynamics from multiple partial recordings of the same neural circuit NeurIPS 2013 Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals ICML 2013 Integrated Non-Factorized Variational Inference NeurIPS 2013 It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NeurIPS 2013 Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013 Kernelized Bayesian Matrix Factorization ICML 2013 Latent Data Association: Bayesian Model Selection for Multi-target Tracking ICCV 2013 Layer Depth Denoising and Completion for Structured-Light RGB-D Cameras CVPR 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013