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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 1351–1375 of 2226 papers

TitleStatusHype
Elements of Sequential Monte Carlo—0
Eliciting Language Model Behaviors with Investigator Agents—0
Embarrassingly parallel MCMC using deep invertible transformations—0
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators—0
EMG Pattern Recognition via Bayesian Inference with Scale Mixture-Based Stochastic Generative Models—0
EMHMM Simulation Study—0
Enhanced gradient-based MCMC in discrete spaces—0
Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data—0
Ensemble Kalman filter for uncertainty in human language comprehension—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
Epidemic mitigation by statistical inference from contact tracing data—0
E-PINNs: Epistemic Physics-Informed Neural Networks—0
Episodic memory for continual model learning—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
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning—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
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction—0
Evaluation of Machine Learning Techniques for Green Energy Prediction—0
Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors—0
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Benchmark Results

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