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Bayesian Inference

4821 directly classified papers

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Papers

Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters CVPR 2015
Distributed Gaussian Processes ICML 2015
A Bayesian nonparametric procedure for comparing algorithms ICML 2015
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Bayesian Sparse Representation for Hyperspectral Image Super Resolution CVPR 2015
Local Expectation Gradients for Black Box Variational Inference NIPS 2015
Kullback-Leibler Proximal Variational Inference NIPS 2015
Automatic Variational Inference in Stan NIPS 2015
Streaming, Distributed Variational Inference for Bayesian Nonparametrics NIPS 2015
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NIPS 2015
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods NIPS 2015
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NIPS 2015
The Population Posterior and Bayesian Modeling on Streams NIPS 2015
On some provably correct cases of variational inference for topic models NIPS 2015
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NIPS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems NIPS 2015
Neural Adaptive Sequential Monte Carlo NIPS 2015
Bayesian dark knowledge NIPS 2015
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
Tractable Learning for Complex Probability Queries NIPS 2015
Bounding errors of Expectation-Propagation NIPS 2015
Copula variational inference NIPS 2015
Stochastic Expectation Propagation NIPS 2015
Fast Second Order Stochastic Backpropagation for Variational Inference NIPS 2015
Learning From Massive Noisy Labeled Data for Image Classification CVPR 2015