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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 2101–2150 of 2226 papers

TitleStatusHype
Quasi-Bayesian Dual Instrumental Variable RegressionCode0
Learning to infer in recurrent biological networksCode0
Arbitrary Marginal Neural Ratio Estimation for Simulation-based InferenceCode0
On the relationship between a Gamma distributed precision parameter and the associated standard deviation in the context of Bayesian parameter inferenceCode0
Scalable Semi-Modular Inference with Variational Meta-PosteriorsCode0
A Probabilistic Disease Progression Model for Predicting Future Clinical OutcomeCode0
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal MetricsCode0
SuperARC: An Agnostic Test for Narrow, General, and Super Intelligence Based On the Principles of Recursive Compression and Algorithmic ProbabilityCode0
On the representation and learning of monotone triangular transport mapsCode0
A Bayesian Method for Joint Clustering of Vectorial Data and Network DataCode0
Surrogate-assisted Bayesian inversion for landscape and basin evolution modelsCode0
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free InferenceCode0
Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex OptimizationCode0
Surrogate-assisted parallel tempering for Bayesian neural learningCode0
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss InformationCode0
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound FrameworkCode0
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural NetworksCode0
Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network ApproachCode0
Swift sky localization of gravitational waves using deep learning seeded importance samplingCode0
VKFPos: A Learning-Based Monocular Positioning with Variational Bayesian Extended Kalman Filter IntegrationCode0
Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI ReconstructionCode0
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent VariablesCode0
Impression learning: Online representation learning with synaptic plasticityCode0
Bayesian inference of infected patients in group testing with prevalence estimationCode0
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian ProcessesCode0
ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement LearningCode0
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit DifferentiationCode0
Variational Reformulation of Bayesian Inverse ProblemsCode0
Segmentation with Noisy Labels via Spatially Correlated DistributionsCode0
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluationsCode0
Bayesian inference is facilitated by modular neural networks with different time scalesCode0
Parallelizing MCMC with Random Partition TreesCode0
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive HierarchyCode0
Parallel MCMC Without Embarrassing FailuresCode0
Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching HeteroskedasticityCode0
Improving Quadrature for Constrained IntegrandsCode0
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained TimescalesCode0
A Factor Graph Approach to Automated Design of Bayesian Signal Processing AlgorithmsCode0
Parameter elimination in particle Gibbs samplingCode0
TabPFN: One Model to Rule Them All?Code0
Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networksCode0
In-Context Learning through the Bayesian PrismCode0
Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functionsCode0
Semi-Implicit Variational InferenceCode0
Semi-Implicit Variational Inference via Score MatchingCode0
Individual Fairness in Bayesian Neural NetworksCode0
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of componentsCode0
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable CouplingsCode0
Inference of a mesoscopic population model from population spike trainsCode0
Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential EquationsCode0
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Benchmark Results

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