SOTAVerified

Bayesian Inference

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

Papers

Showing 15511575 of 2226 papers

TitleStatusHype
Improving Graph Out-of-distribution Generalization on Real-world Data0
Incentive-Theoretic Bayesian Inference for Collaborative Science0
Incoherent Probability Judgments in Large Language Models0
In-context Exploration-Exploitation for Reinforcement Learning0
Explaining Emergent In-Context Learning as Kernel Regression0
In-Context Parametric Inference: Point or Distribution Estimators?0
Incorporating Bayesian approaches in Deep Learning Research0
Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers0
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing0
Inference in continuous-time change-point models0
Inference of epidemiological parameters from household stratified data0
Inferential Moments of Uncertain Multivariable Systems0
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling0
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach0
Inferring perceptual decision making parameters from behavior in production and reproduction tasks0
Inferring to C or not to C: Evolutionary games with Bayesian inferential strategies0
Classifying Turbulent Environments via Machine Learning0
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals0
Infinite Latent SVM for Classification and Multi-task Learning0
InfoNCE is variational inference in a recognition parameterised model0
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty0
Information Threshold, Bayesian Inference and Decision-Making0
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis0
Integrating time-resolved nrf2 gene-expression data into a full GUTS model as a proxy for toxicodynamic damage in zebrafish embryo0
Interacting Large Language Model Agents. Interpretable Models and Social Learning0
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Benchmark Results

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