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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 1951–1975 of 2226 papers

TitleStatusHype
Robust Energy Storage Scheduling for Imbalance Reduction of Strategically Formed Energy Balancing Groups—0
matLeap: A fast adaptive Matlab-ready tau-leaping implementation suitable for Bayesian inferenceCode0
Self-Averaging Expectation Propagation—0
Softplus Regressions and Convex Polytopes—0
Stein Variational Gradient Descent: A General Purpose Bayesian Inference AlgorithmCode1
Human collective intelligence as distributed Bayesian inference—0
Modelling the Interpretation of Discourse Connectives by Bayesian Pragmatics—0
Simultaneous Estimation of Noise Variance and Number of Peaks in Bayesian Spectral Deconvolution—0
Bayesian Inference of Bijective Non-Rigid Shape Correspondence—0
Developing and Testing a Bayesian Analysis of Fluorescence Lifetime Measurements—0
Pseudo-Marginal Hamiltonian Monte Carlo—0
Kernel Bayesian Inference with Posterior Regularization—0
Functional Distributional Semantics—0
Efficient Attack Graph Analysis through Approximate Inference—0
Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction—0
A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting—0
Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions—0
PAC-Bayesian Theory Meets Bayesian Inference—0
Merging MCMC Subposteriors through Gaussian-Process Approximations—0
Communication-Efficient Distributed Statistical Inference—0
Coresets for Scalable Bayesian Logistic RegressionCode0
ABC random forests for Bayesian parameter inference—0
An Efficient and Flexible Spike Train Model via Empirical Bayes—0
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm—0
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes—0
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Benchmark Results

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