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bayesian inference

2,116 papers

BI

Papers

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 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Learning Stochastic Inverses NeurIPS 2013 Locally Adaptive Bayesian Multivariate Time Series NeurIPS 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 Message passing with l1 penalized KL minimization ICML 2013 Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior CVPR 2013 Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013 Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013 Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NeurIPS 2013 ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013 Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NeurIPS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 Optimal integration of visual speed across different spatiotemporal frequency channels NeurIPS 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Policy Shaping: Integrating Human Feedback with Reinforcement Learning NeurIPS 2013 Randomized Ensemble Tracking ICCV 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking NeurIPS 2013 Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively NeurIPS 2013 Reconciling "priors" & "priors" without prejudice? NeurIPS 2013 Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013