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Found 4 papers, 3 papers with code
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations
We demonstrate the SIGMA prior's effectiveness on synthetic data and showcase its utility in a real-world example of FL for spatial data, using a conditional autoregressive prior to model spatial dependence across Australia.
Bayesian score calibration for approximate models
In this paper we propose a new method for adjusting approximate posterior samples to reduce bias and produce more accurate uncertainty quantification.
Accelerating sequential Monte Carlo with surrogate likelihoods
Delayed-acceptance is a technique for reducing computational effort for Bayesian models with expensive likelihoods.
Computation Methodology
Polling bias and undecided voter allocations: US Presidential elections, 2004 - 2016
Accounting for undecided and uncertain voters is a challenging issue for predicting election results from public opinion polls.
Applications Social and Information Networks Physics and Society
