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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 2126–2150 of 2226 papers

TitleStatusHype
Experimentally detecting a quantum change point via Bayesian inference—0
Explainable Lane Change Prediction for Near-Crash Scenarios Using Knowledge Graph Embeddings and Retrieval Augmented Generation—0
Exploiting Dynamic Sparsity for Near-Field Spatial Non-Stationary XL-MIMO Channel Tracking—0
Exploiting Reducibility in Unsupervised Dependency Parsing—0
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach—0
Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory—0
Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference—0
Extending the statistical software package Engine for Likelihood-Free Inference—0
Extension of compressive sampling to binary vector recovery for model-based defect imaging—0
Factorized Asymptotic Bayesian Inference for Factorial Hidden Markov Models—0
Factorized Asymptotic Bayesian Inference for Latent Feature Models—0
False Discovery Rate Control via Frequentist-assisted Horseshoe—0
Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models—0
Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks—0
Fast Approximate Inference of Transcript Expression Levels from RNA-seq Data—0
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation—0
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression—0
Fast Burst-Sparsity Learning Approach for Massive MIMO-OTFS Channel Estimation—0
Fast Convergence for Langevin Diffusion with Manifold Structure—0
Fast Convergence for Langevin with Matrix Manifold Structure—0
Fast Dual Variational Inference for Non-Conjugate LGMs—0
Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk—0
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows—0
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models—0
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network—0
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Benchmark Results

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