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Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing.
Multilevel Delayed Acceptance MCMC with an Adaptive Error Model in PyMC3
Uncertainty Quantification through Markov Chain Monte Carlo (MCMC) can be prohibitively expensive for target probability densities with expensive likelihood functions, for instance when the evaluation it involves solving a Partial Differential Equation (PDE), as is the case in a wide range of engineering applications.
Probabilistic Programming
Computation
