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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

A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One JMLR 2022
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022
Learning Not to Learn: Nature versus Nurture In Silico AAAI 2022
Marginal MAP estimation for inverse RL under occlusion with observer noise UAI 2022
Active Bayesian Causal Inference NIPS 2022
Bayesian spillover graphs for dynamic networks UAI 2022
Robust Deep Learning from Crowds with Belief Propagation AISTATS 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors NIPS 2022
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently UAI 2022
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022
Bayesian Invariant Risk Minimization CVPR 2022
Bayesian Active Learning with Fully Bayesian Gaussian Processes NIPS 2022
Phase transitions in when feedback is useful NIPS 2022
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion AISTATS 2022
Knowledge Distillation via Constrained Variational Inference AAAI 2022
Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis JMLR 2021
Federated stochastic gradient Langevin dynamics UAI 2021
Improving Dialog Systems for Negotiation with Personality Modeling IJCNLP 2021
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables JMLR 2021
Nonparametric Hamiltonian Monte Carlo ICML 2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates EACL 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? IJCNLP 2021
Variational refinement for importance sampling using the forward Kullback-Leibler divergence UAI 2021
Bayesian streaming sparse Tucker decomposition UAI 2021