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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 2176–2200 of 2226 papers

TitleStatusHype
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation MatrixCode0
Bayesian PseudocoresetsCode0
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic modelsCode0
Invariant polynomials and machine learningCode0
Inverse decision-making using neural amortized Bayesian actorsCode0
Inverse Ising problem in continuous time: A latent variable approachCode0
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN samplerCode0
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance SpectroscopyCode0
Is In-Context Learning in Large Language Models Bayesian? A Martingale PerspectiveCode0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural NetworksCode0
Sequential Likelihood-Free Inference with Neural ProposalCode0
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference NetworkCode0
Amortized variational transdimensional inferenceCode0
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband ItemsCode0
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank DeterminationCode0
Population Empirical BayesCode0
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion ModelsCode0
Sequential transport maps using SoS density estimation and α-divergencesCode0
Neural Posterior Regularization for Likelihood-Free InferenceCode0
sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte CarloCode0
Sharing deep generative representation for perceived image reconstruction from human brain activityCode0
Posterior SBC: Simulation-Based Calibration Checking Conditional on DataCode0
Variational Bayesian Bow tie Neural Networks with ShrinkageCode0
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Benchmark Results

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