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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 901–925 of 2226 papers

TitleStatusHype
Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data—0
Entropic Matching for Expectation Propagation of Markov Jump Processes—0
Entropy-based Training Methods for Scalable Neural Implicit Sampler—0
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference—0
Bayesian inference of natural selection from allele frequency time series—0
Epidemic mitigation by statistical inference from contact tracing data—0
Fast Convergence for Langevin Diffusion with Manifold Structure—0
Episodic memory for continual model learning—0
Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk—0
ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction—0
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference—0
Estimating Bayesian Optimal Treatment Regimes for Dichotomous Outcomes using Observational Data—0
Estimating Compact Yet Rich Tree Insertion Grammars—0
Bayesian Inference of Recursive Sequences of Group Activities from Tracks—0
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning—0
Bayesian Inference of Regular Expressions from Human-Generated Example Strings—0
Estimating the impact of non-pharmaceutical interventions and vaccination on the progress of the COVID-19 epidemic in Mexico: a mathematical approach—0
Estimation of the incubation period and generation time of SARS-CoV-2 Alpha and Delta variants from contact tracing data—0
Bayesian Inference of Spacecraft Pose using Particle Filtering—0
Approximation Properties of Variational Bayes for Vector Autoregressions—0
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction—0
Bayesian inference of spatial and temporal relations in AI patents for EU countries—0
Approximations in the homogeneous Ising model—0
Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors—0
Few-Shot Bayesian Imitation Learning with Logical Program Policies—0
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Benchmark Results

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