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bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
Stochastic Expectation Propagation NIPS 2015
Parallelizing MCMC with Random Partition Trees NIPS 2015
Robust Spectral Inference for Joint Stochastic Matrix Factorization NIPS 2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NIPS 2015
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NIPS 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NIPS 2015
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes ICML 2015
Controversy in mechanistic modelling with Gaussian processes ICML 2015
A Bayesian nonparametric procedure for comparing algorithms ICML 2015
Learning The Structure of Deep Convolutional Networks ICCV 2015
Higher-Order Inference for Multi-Class Log-Supermodular Models ICCV 2015
Probability Occupancy Maps for Occluded Depth Images CVPR 2015
Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection ICCV 2015
Image Segmentation in Twenty Questions CVPR 2015
Bayesian Adaptive Matrix Factorization With Automatic Model Selection CVPR 2015
Harmonic Exponential Families on Manifolds ICML 2015
Asymmetric Transfer Learning with Deep Gaussian Processes ICML 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NIPS 2015
Reflection, Refraction, and Hamiltonian Monte Carlo NIPS 2015
WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015
Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM AISTATS 2015
GP Kernels for Cross-Spectrum Analysis NIPS 2015
The Poisson Gamma Belief Network NIPS 2015
Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015