research
∙
07/11/2023
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling
Differential privacy guarantees allow the results of a statistical analy...
share
research
∙
06/26/2023
Challenges and Opportunities of Shapley values in a Clinical Context
With the adoption of machine learning-based solutions in routine clinica...
research
∙
05/24/2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
We establish the first mathematically rigorous link between Bayesian, va...
research
∙
04/26/2023
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires
Recent advances in immunomics have shown that T-cell receptor (TCR) sign...
research
∙
02/27/2023
Differentially Private Diffusion Models Generate Useful Synthetic Images
The ability to generate privacy-preserving synthetic versions of sensiti...
research
∙
06/13/2022
Density Estimation with Autoregressive Bayesian Predictives
Bayesian methods are a popular choice for statistical inference in small...
research
∙
08/24/2021
Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale
Increasing interest in privacy-preserving machine learning has led to ne...
research
∙
06/24/2021
On Locality of Local Explanation Models
Shapley values provide model agnostic feature attributions for model out...
research
∙
03/05/2021
