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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 1251–1300 of 2226 papers

TitleStatusHype
Black-box density function estimation using recursive partitioningCode0
Bayesian Importance of Features (BIF)Code0
Bayesian Inference in Physics-Driven Problems with Adversarial Priors—0
From the Expectation Maximisation Algorithm to Autoencoded Variational Bayes—0
Spike and slab variational Bayes for high dimensional logistic regression—0
Analysis of Markov Jump Processes under Terminal ConstraintsCode0
Quantification of Ebola virus replication kinetics in vitro—0
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference—0
Bayesian Inference for Optimal Transport with Stochastic Cost—0
Fundamental Linear Algebra Problem of Gaussian Inference—0
Sequential Likelihood-Free Inference with Neural ProposalCode0
Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging—0
Learning Not to Learn: Nature versus Nurture in Silico—0
Physics-constrained Bayesian inference of state functions in classical density-functional theory—0
Learning Manifold Implicitly via Explicit Heat-Kernel Learning—0
Bayesian Policy Search for Stochastic Domains—0
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in GermanyCode1
TensorBNN: Bayesian Inference for Neural Networks using TensorflowCode1
Towards Scalable Bayesian Learning of Causal DAGs—0
Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference—0
Amortized Conditional Normalized Maximum Likelihood—0
Multilevel Gibbs Sampling for Bayesian Regression—0
On the representation and learning of monotone triangular transport mapsCode0
Partially Observable Online Change Detection via Smooth-Sparse Decomposition—0
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference—0
Epidemic mitigation by statistical inference from contact tracing data—0
Remote sensing image fusion based on Bayesian GAN—0
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modelingCode0
Optimality of short-term synaptic plasticity in modelling certain dynamic environments—0
Density Estimation via Bayesian Inference Engines—0
Tracking disease outbreaks from sparse data with Bayesian inference—0
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient DescentCode1
Non-linear fitting with joint spatial regularization in Arterial Spin Labeling—0
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior—0
FedBE: Making Bayesian Model Ensemble Applicable to Federated LearningCode1
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution SettingsCode0
Bayesian Perceptron: Towards fully Bayesian Neural Networks—0
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of OutliersCode0
The linear conditional expectation in Hilbert space—0
Surrogate Model For Field Optimization Using Beta-VAE Based Regression—0
Blindness of score-based methods to isolated components and mixing proportions—0
Assessing Safety-Critical Systems from Operational Testing: A Study on Autonomous Vehicles—0
Bayesian geoacoustic inversion using mixture density network—0
Bayesian neural networks and dimensionality reduction—0
Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems—0
BAT.jl -- A Julia-based tool for Bayesian inference—0
Complete parameter inference for GW150914 using deep learningCode1
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes—0
Exploring Variational Deep Q NetworksCode0
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet AllocationCode0
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Benchmark Results

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