SOTAVerified

Bayesian Inference

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

Papers

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Showing 926–950 of 2226 papers

TitleStatusHype
SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy—0
Optimal Rates for Regularized Conditional Mean Embedding Learning—0
Enhanced gradient-based MCMC in discrete spaces—0
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection—0
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference PerspectiveCode0
A Two-stage Multiband WiFi Sensing Scheme via Stochastic Particle-Based Variational Bayesian Inference—0
Minimum Description Length Control—0
Mean-field Variational Inference via Wasserstein Gradient Flow—0
Neural Posterior Estimation with Differentiable Simulators—0
Latent Variable Models for Bayesian Causal Discovery—0
Comparative Study of Inference Methods for Interpolative Decomposition—0
Towards Unifying Perceptual Reasoning and Logical Reasoning—0
Bayesian Neural Network Detector for an Orthogonal Time Frequency Space Modulation—0
Variational Bayesian inference for CP tensor completion with side information—0
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport—0
Cold Posteriors through PAC-Bayes—0
Multiband Delay Estimation for Localization Using a Two-Stage Global Estimation Scheme—0
Robust One Round Federated Learning with Predictive Space Bayesian InferenceCode0
Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk—0
Scaling multi-species occupancy models to large citizen science datasets—0
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift—0
Fidelity of Hyperbolic Space for Bayesian Phylogenetic InferenceCode0
Generalised Bayesian Inference for Discrete Intractable LikelihoodCode0
How Adults Understand What Young Children Say—0
Calibrating Agent-based Models to Microdata with Graph Neural Networks—0
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Benchmark Results

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