SOTAVerified

Bayesian Inference

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

Papers

Showing 19111920 of 2226 papers

TitleStatusHype
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
Show:102550
← PrevPage 192 of 223Next →

Benchmark Results

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