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 251–275 of 2226 papers

TitleStatusHype
A Review of Multiple Try MCMC algorithms for Signal Processing—0
Are you using test log-likelihood correctly?—0
Array Partitioning Based Near-Field Attitude and Location Estimation—0
A sampling-based circuit for optimal decision making—0
A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas—0
A Factor Graph Model of Trust for a Collaborative Multi-Agent System—0
A Bayesian Analysis of Dynamics in Free Recall—0
Approximation Properties of Variational Bayes for Vector Autoregressions—0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex—0
Approximating Permutations with Neural Network Components for Travelling Photographer Problem—0
Adversarial Message Passing For Graphical Models—0
Approximate Inference with the Variational Holder Bound—0
Approximate Inference for Spectral Mixture Kernel—0
A Bayesian model for identifying hierarchically organised states in neural population activity—0
Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data—0
Approximate Decentralized Bayesian Inference—0
Advancing Autonomous Vehicle Safety: A Combined Fault Tree Analysis and Bayesian Network Approach—0
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting—0
Bayesian causal inference via probabilistic program synthesis—0
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference—0
Approximate Bayesian inference in spatial environments—0
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting—0
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale—0
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC—0
Accelerating MCMC via Parallel Predictive Prefetching—0
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Benchmark Results

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