4 citations · 4 across the 3 of their papers we have counts for
3 papers
A computationally-tractable measure of global sensitivity for sampling-based Bayesian inference
Arina Odnoblyudova, Charita Dellaporta, François-Xavier Briol
Bayesian inference can often be sensitive to the choice of hyperparameters of the prior or likelihood, yet defining and quantifying this sensitivity in a principled and computation…
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics
Arina Odnoblyudova, Çağlar Hizli, ST John +5
In biomedical applications it is often necessary to estimate a physiological response to a treatment consisting of multiple components, and learn the separate effects of the compon…
Explainable Empirical Risk Minimization
L. Zhang, G. Karakasidis, A. Odnoblyudova +2
The successful application of machine learning (ML) methods becomes increasingly dependent on their interpretability or explainability. Designing explainable ML systems is instrume…