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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 401–450 of 2226 papers

TitleStatusHype
Fully Bayesian inference for latent variable Gaussian process modelsCode0
Functional Ensemble DistillationCode0
Batch Bayesian Optimization via Particle Gradient FlowsCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Batch Bayesian optimisation via density-ratio estimation with guaranteesCode0
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained DomainCode0
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
Generalised Bayesian distance-based phylogenetics for the genomics eraCode0
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband ItemsCode0
Generalized Posteriors in Approximate Bayesian ComputationCode0
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-RiskCode0
Bayesian Inference ForgettingCode0
Gradient-Free Adversarial Attacks for Bayesian Neural NetworksCode0
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential FamiliesCode0
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning AlgorithmsCode0
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma AugmentationCode0
Detecting structural perturbations from time series with deep learningCode0
Extended molt phenology models improve inferences about molt duration and timingCode0
A digital twin framework for civil engineering structuresCode0
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit DifferentiationCode0
Improving Quadrature for Constrained IntegrandsCode0
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained TimescalesCode0
Differentially Private Bayesian Inference for Exponential FamiliesCode0
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence ClusteringCode0
Inferring Fitness in Finite Populations with Moran-like dynamicsCode0
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based ModelsCode0
Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching HeteroskedasticityCode0
Accelerating Convergence of Stein Variational Gradient Descent via Deep UnfoldingCode0
Deep Neural Networks as Gaussian ProcessesCode0
InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic modelsCode0
A Bayesian Method for Joint Clustering of Vectorial Data and Network DataCode0
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filterCode0
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularizationCode0
Bandit Learning with Implicit FeedbackCode0
Laplace Matching for fast Approximate Inference in Latent Gaussian ModelsCode0
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systemsCode0
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon SynapseCode0
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic ProgrammingCode0
AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithmsCode0
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-upCode0
Bayesian inference is facilitated by modular neural networks with different time scalesCode0
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in KenyaCode0
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution TasksCode0
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceCode0
Approximate Bayesian Neural Doppler ImagingCode0
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian ProcessesCode0
Differentially Private Bayesian Learning on Distributed DataCode0
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian InferenceCode0
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for PaleoceanographyCode0
Fast and Robust Rank Aggregation against Model MisspecificationCode0
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Benchmark Results

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