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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates EACL 2021
De-randomizing MCMC dynamics with the diffusion Stein operator NIPS 2021
Conformal Bayesian Computation NIPS 2021
Handling Overlaps When Lifting Gaussian Bayesian Networks IJCAI 2021
Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021
Probability Paths and the Structure of Predictions over Time NIPS 2021
Posterior Meta-Replay for Continual Learning NIPS 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021
A PAC-Bayes Analysis of Adversarial Robustness NIPS 2021
Structured Dropout Variational Inference for Bayesian Neural Networks NIPS 2021
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NIPS 2021
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021
Online Learning of a Probabilistic and Adaptive Scene Representation CVPR 2021
Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021
Bayesian streaming sparse Tucker decomposition UAI 2021
Bayesian Quadrature on Riemannian Data Manifolds ICML 2021
Marginalised Gaussian Processes with Nested Sampling NIPS 2021
pRSL: Interpretable multi-label stacking by learning probabilistic rules UAI 2021
Weighted model counting with conditional weights for Bayesian networks UAI 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation CVPR 2021
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021
Bayesian Bellman Operators NIPS 2021
Model Selection for Bayesian Autoencoders NIPS 2021