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Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 951–975 of 2226 papers

TitleStatusHype
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification—0
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem—0
Bayesian Inference for Neighborhood Filters With Application in Denoising—0
Bayesian Inference for Multidimensional Welfare Comparisons—0
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring—0
Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks—0
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data—0
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection—0
Bayesian inference for low rank spatiotemporal neural receptive fields—0
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with -Divergences—0
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation—0
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression—0
Double Robust Bayesian Inference on Average Treatment Effects—0
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis—0
Fast Convergence for Langevin Diffusion with Manifold Structure—0
Fast Convergence for Langevin with Matrix Manifold Structure—0
An Overview of Uncertainty Quantification Methods for Infinite Neural Networks—0
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models—0
Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk—0
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows—0
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes—0
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting—0
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network—0
Fast Parallel SVM using Data Augmentation—0
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified