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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

Fast Threshold Tests for Detecting Discrimination AISTATS 2018
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions RSS 2018
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction CVPR 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Interactive Optimal Teaching with Unknown Learners IJCAI 2018
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NIPS 2018
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach NIPS 2018
Bayesian Model-Agnostic Meta-Learning NIPS 2018
Probabilistic preference learning with the Mallows rank model JMLR 2018
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NIPS 2018
Bayesian Tactile Exploration for Compliant Docking With Uncertain Shapes RSS 2018
Stein Variational Message Passing for Continuous Graphical Models ICML 2018
The Hierarchical Adaptive Forgetting Variational Filter ICML 2018
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018
Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization ICML 2018
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo ICML 2018
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NIPS 2018
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) ICML 2018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression ICML 2018
State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches ICML 2018
PAC-Bayes bounds for stable algorithms with instance-dependent priors NIPS 2018