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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 Neyman-Scott Processes AISTATS 2022
Random Effect Bandits AISTATS 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors NIPS 2022
Metalearning Linear Bandits by Prior Update AISTATS 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022
A Unified View on PAC-Bayes Bounds for Meta-Learning ICML 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective NIPS 2022
Parallel MCMC Without Embarrassing Failures AISTATS 2022
Black-box coreset variational inference NIPS 2022
ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons ACL 2022
A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022
ActPerFL: Active Personalized Federated Learning ACL 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NIPS 2022
Posterior and Computational Uncertainty in Gaussian Processes NIPS 2022
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling PGM 2022
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022
Adjoint-aided inference of Gaussian process driven differential equations NIPS 2022
Knowledge-Aware Bayesian Deep Topic Model NIPS 2022
The AIM and EM Algorithms for Learning from Coarse Data JMLR 2022
Nonlinear MCMC for Bayesian Machine Learning NIPS 2022
Learning Not to Learn: Nature versus Nurture In Silico AAAI 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NIPS 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting JMLR 2022