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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

Deep Mean-Shift Priors for Image Restoration NIPS 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NIPS 2017
Active Exploration for Learning Symbolic Representations NIPS 2017
Improving Semantic Composition with Offset Inference ACL 2017
Infinite Variational Autoencoder for Semi-Supervised Learning CVPR 2017
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks CVPR 2017
Variational Bayesian Multiple Instance Learning With Gaussian Processes CVPR 2017
Linear Time Computation of Moments in Sum-Product Networks NIPS 2017
Model evidence from nonequilibrium simulations NIPS 2017
Renyi Differential Privacy Mechanisms for Posterior Sampling NIPS 2017
A-NICE-MC: Adversarial Training for MCMC NIPS 2017
Bayesian GAN NIPS 2017
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NIPS 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference NIPS 2017
From Bayesian Sparsity to Gated Recurrent Nets NIPS 2017
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms NIPS 2017
Evaluating Bayesian Models with Posterior Dispersion Indices ICML 2017
Variational Dropout Sparsifies Deep Neural Networks ICML 2017
Bayesian Inference for Spatio-temporal Spike-and-Slab Priors JMLR 2017
Factorized Asymptotic Bayesian Policy Search for POMDPs IJCAI 2017
On Thompson Sampling and Asymptotic Optimality IJCAI 2017
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CORL 2017
Robust Probabilistic Modeling with Bayesian Data Reweighting ICML 2017
Flexible statistical inference for mechanistic models of neural dynamics NIPS 2017
Differentially private Bayesian learning on distributed data NIPS 2017