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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 1301–1325 of 2226 papers

TitleStatusHype
Rule-based Bayesian regressionCode0
Bayesian Inference of Minimally Complex Models with Interactions of Arbitrary OrderCode0
Bayesian Inference by Symbolic Model Checking—0
Lifelong Incremental Reinforcement Learning with Online Bayesian InferenceCode1
Online neural connectivity estimation with ensemble stimulationCode0
Active pooling design in group testing based on Bayesian posterior prediction—0
Deep Knowledge Tracing with Learning Curves—0
Are low frequency macroeconomic variables important for high frequency electricity prices?—0
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks—0
Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty QuantificationCode1
Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach—0
SBI -- A toolkit for simulation-based inference—0
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows—0
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One—0
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian ProcessesCode1
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty—0
Characteristics of Monte Carlo Dropout in Wide Neural Networks—0
Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJα ModelCode1
Variational Inference with Continuously-Indexed Normalizing FlowsCode0
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural NetworksCode1
Kernel Stein Generative Modeling—0
Meta-Learning Divergences of Variational Inference—0
Stochastic Variational Bayesian Inference for a Nonlinear Forward Model—0
The FMRIB Variational Bayesian Inference Tutorial II: Stochastic Variational Bayes—0
WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale—0
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Benchmark Results

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