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Bayesian Inference

4,821 papers

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Papers

Laplace approximated Gaussian process state-space models UAI 2022
Low-precision arithmetic for fast Gaussian processes UAI 2022
Data augmentation in Bayesian neural networks and the cold posterior effect UAI 2022
Robust learning of tractable probabilistic models UAI 2022
Bayesian quantile and expectile optimisation UAI 2022
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently UAI 2022
Neural ensemble search via Bayesian sampling UAI 2022
PAC-Bayesian domain adaptation bounds for multiclass learners UAI 2022
Marginal MAP estimation for inverse RL under occlusion with observer noise UAI 2022
Efficient inference for dynamic topic modeling with large vocabularies UAI 2022
Learning invariant weights in neural networks UAI 2022
Bias aware probabilistic Boolean matrix factorization UAI 2022
Generalized Bayesian quadrature with spectral kernels UAI 2022
Partial likelihood Thompson sampling UAI 2022
The Hitchhiker's Guide to Prior-Shift Adaptation WACV 2022
Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides of the Same Coin? WACV 2022
SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery WACV 2022
Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration WACV 2022
Dynamic CNNs Using Uncertainty To Overcome Domain Generalization for Surgical Instrument Localization WACV 2022
Modeling Aleatoric Uncertainty for Camouflaged Object Detection WACV 2022
Geometry-Aware Hierarchical Bayesian Learning on Manifolds WACV 2022
Truncated Marginal Neural Ratio Estimation NIPS 2021
Meta-Learning Reliable Priors in the Function Space NIPS 2021
Learning to Select Exogenous Events for Marked Temporal Point Process NIPS 2021
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation NIPS 2021