SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Showing 19011925 of 2226 papers

TitleStatusHype
Analytical Approximation of the ELBO Gradient in the Context of the Clutter ProblemCode0
Bayesian Joint Spike-and-Slab Graphical LassoCode0
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on GraphsCode0
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned dataCode0
ALINE: Joint Amortization for Bayesian Inference and Active Data AcquisitionCode0
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference PerspectiveCode0
Statistic Selection and MCMC for Differentially Private Bayesian EstimationCode0
Variational Bayes on ManifoldsCode0
Model-based Validation as Probabilistic InferenceCode0
Model Evidence with Fast Tree Based QuadratureCode0
Analysis of Markov Jump Processes under Terminal ConstraintsCode0
Exploring helical dynamos with machine learningCode0
Exploring Variational Deep Q NetworksCode0
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?Code0
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data setsCode0
BRUNO: A Deep Recurrent Model for Exchangeable DataCode0
Understanding Variational Inference in Function-SpaceCode0
Stein Variational Gradient Descent With Matrix-Valued KernelsCode0
Batch Bayesian optimisation via density-ratio estimation with guaranteesCode0
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive AdvantagesCode0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over SimplexCode0
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappingsCode0
Fast and accurate approximate inference of transcript expression from RNA-seq dataCode0
Blang: Bayesian declarative modelling of general data structures and inference via algorithms based on distribution continuaCode0
Stein Variational Newton Neural Network EnsemblesCode0
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Benchmark Results

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