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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 901–950 of 2226 papers

TitleStatusHype
Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data—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
Bayesian inference of natural selection from allele frequency time series—0
Epidemic mitigation by statistical inference from contact tracing data—0
Sparse Bayesian Learning Approach for Discrete Signal Reconstruction—0
Episodic memory for continual model learning—0
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision 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
Bayesian Inference of Recursive Sequences of Group Activities from Tracks—0
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning—0
Bayesian Inference of Regular Expressions from Human-Generated Example Strings—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
Belief patterns with information processing—0
Approximation Properties of Variational Bayes for Vector Autoregressions—0
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction—0
Bayesian inference of spatial and temporal relations in AI patents for EU countries—0
A transport approach to sequential simulation-based inference—0
Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors—0
Event Temporal Relation Extraction with Bayesian Translational Model—0
Evidence of Replica Symmetry Breaking under the Nishimori conditions in epidemic inference on graphs—0
FedLog: Personalized Federated Classification with Less Communication and More Flexibility—0
Few-Shot Bayesian Imitation Learning with Logical Program Policies—0
Exact Bayesian inference for off-line change-point detection in tree-structured graphical models—0
Finite Horizon Throughput Maximization and Sensing Optimization in Wireless Powered Devices over Fading Channels—0
Excess risk analysis for epistemic uncertainty with application to variational inference—0
Exchangeable Variational Autoencoders with Applications to Genomic Data—0
Exoplanet Characterization using Conditional Invertible Neural Networks—0
Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior—0
Expectation Propagation performs a smoothed gradient descent—0
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
Free energy and inference in living systems—0
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach—0
Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory—0
Bayesian inference on random simple graphs with power law degree distributions—0
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling—0
A theory of representation learning gives a deep generalisation of kernel methods—0
Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference—0
Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence—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
A Tractable Fully Bayesian Method for the Stochastic Block Model—0
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Benchmark Results

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