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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 51–75 of 2226 papers

TitleStatusHype
A Bayesian algorithm for retrosynthesisCode1
Deep Bayesian Unsupervised Lifelong LearningCode1
A Bit More Bayesian: Domain-Invariant Learning with UncertaintyCode1
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection areaCode1
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context LearningCode1
Neural Clustering ProcessesCode1
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian PerspectiveCode1
Conditional score-based diffusion models for Bayesian inference in infinite dimensionsCode1
A practical tutorial on Variational BayesCode1
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric ApproachesCode1
A Primer on Bayesian Neural Networks: Review and DebatesCode1
A Probabilistic State Space Model for Joint Inference from Differential Equations and DataCode1
Bayesian Uncertainty for Gradient Aggregation in Multi-Task LearningCode1
Bayesian Inference with Latent Hamiltonian Neural NetworksCode1
Bayesian hierarchical stacking: Some models are (somewhere) usefulCode1
Bayesian neural networks via MCMC: a Python-based tutorialCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
Bayesian Coresets: Revisiting the Nonconvex Optimization PerspectiveCode1
Bayesian continual learning and forgetting in neural networksCode1
Bayesian differential programming for robust systems identification under uncertaintyCode1
A friendly introduction to triangular transportCode1
Bayesian graph convolutional neural networks via tempered MCMCCode1
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
Variational multiple shooting for Bayesian ODEs with Gaussian processesCode1
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
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Benchmark Results

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