Bayesian Inference
6,267 papers
Papers per year
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104
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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