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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 2076–2100 of 2226 papers

TitleStatusHype
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace InferenceCode0
A General Framework for Uncertainty Estimation in Deep LearningCode0
Scalable Data Assimilation with Message PassingCode0
Structured Stochastic Gradient MCMCCode0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
Online, Informative MCMC Thinning with Kernelized Stein DiscrepancyCode0
Online neural connectivity estimation with ensemble stimulationCode0
A Scalable Laplace Approximation for Neural NetworksCode0
Heterogeneous Multi-Task Gaussian Cox ProcessesCode0
On Markov chain Monte Carlo methods for tall dataCode0
Adaptive Nonparametric Perturbations of Parametric Bayesian ModelsCode0
Accelerated Stein Variational Gradient FlowCode0
Hierarchical Bayesian inference for community detection and connectivity of functional brain networksCode0
Are Bayesian neural networks intrinsically good at out-of-distribution detection?Code0
On Sequential Bayesian Inference for Continual LearningCode0
AGEM: Solving Linear Inverse Problems via Deep Priors and SamplingCode0
A fast asynchronous MCMC sampler for sparse Bayesian inferenceCode0
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model AccelerationCode0
On the Convergence of the Shapley Value in Parametric Bayesian Learning GamesCode0
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large DatasetsCode0
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in GlaucomaCode0
Subspace Inference for Bayesian Deep LearningCode0
Kernel Interpolation as a Bayes Point MachineCode0
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian InferenceCode0
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior BootstrapCode0
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Benchmark Results

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