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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

Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017
Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis JMLR 2017
Stochastic Online Anomaly Analysis for Streaming Time Series IJCAI 2017
Adapting Topic Models using Lexical Associations with Tree Priors EMNLP 2017
Tractability in Structured Probability Spaces NIPS 2017
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017
Rational Distortions of Learners’ Linguistic Input CONLL 2017
Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction CORL 2017
Learning to Reconstruct 3D Structures for Occupancy Mapping RSS 2017
Distributional Modeling on a Diet: One-shot Word Learning from Text Only IJCNLP 2017
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC AISTATS 2017
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems AISTATS 2017
Signal-based Bayesian Seismic Monitoring AISTATS 2017
Asymptotically exact inference in differentiable generative models AISTATS 2017
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017
Averaged Collapsed Variational Bayes Inference JMLR 2017
Improving Variational Methods via Pairwise Linear Response Identities JMLR 2017
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA JMLR 2017
Bayesian Tensor Regression JMLR 2017
Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017
Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017
Variational Inference for Sparse and Undirected Models ICML 2017