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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 1851–1900 of 2226 papers

TitleStatusHype
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear ModelCode0
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ballCode0
ELBOing Stein: Variational Bayes with Stein Mixture InferenceCode0
Electricity Spot Prices Forecasting Using Stochastic Volatility ModelsCode0
Electrostatics-based particle sampling and approximate inferenceCode0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural NetworksCode0
Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inferenceCode0
Quantifying cell cycle regulation by tissue crowdingCode0
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problemsCode0
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix FactorisationCode0
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative ModelsCode0
Deep Learning Enhanced Realized GARCHCode0
Variational message passing for online polynomial NARMAX identificationCode0
Combining Model and Parameter Uncertainty in Bayesian Neural NetworksCode0
Meta Architecture SearchCode0
Bayesian Matrix Completion via Adaptive Relaxed Spectral RegularizationCode0
Coin Sampling: Gradient-Based Bayesian Inference without Learning RatesCode0
Ensemble-based gradient inference for particle methods in optimization and samplingCode0
Projective Integral Updates for High-Dimensional Variational InferenceCode0
Ensemble transport smoothing. Part I: Unified frameworkCode0
Ensemble transport smoothing. Part II: Nonlinear updatesCode0
Baxter Permutation ProcessCode0
Bayesian Learning-Based Adaptive Control for Safety Critical SystemsCode0
Metric Gaussian Variational InferenceCode0
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakCode0
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational InferenceCode0
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal PosteriorsCode0
A Compact Representation for Bayesian Neural Networks By Removing Permutation SymmetryCode0
Challenges in Markov chain Monte Carlo for Bayesian neural networksCode0
Variational methods for simulation-based inferenceCode0
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimationCode0
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic netCode0
Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocationCode0
Estimating Idea Production: A Methodological SurveyCode0
A Metaheuristic for Amortized Search in High-Dimensional Parameter SpacesCode0
Estimating Risk and Uncertainty in Deep Reinforcement LearningCode0
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware PriorsCode0
Unifying Summary Statistic Selection for Approximate Bayesian ComputationCode0
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at ScaleCode0
Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI CapabilitiesCode0
Variational Bayes In Private Settings (VIPS)Code0
Evaluating Topic Quality with Posterior VariabilityCode0
Mismatched Estimation of rank-one symmetric matrices under Gaussian noiseCode0
Recurrent switching linear dynamical systemsCode0
Mixed Variational InferenceCode0
Batch Bayesian Optimization via Particle Gradient FlowsCode0
Calibrating Neural Simulation-Based Inference with Differentiable Coverage ProbabilityCode0
Bayesian latent structure discovery from multi-neuron recordingsCode0
Bayesian Inference of Minimally Complex Models with Interactions of Arbitrary OrderCode0
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive SpaceCode0
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Benchmark Results

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