Medical studies frequently require to extract the relationship between e...
In applications involving sensitive data, such as finance and healthcare...
Although overparameterized models have shown their success on many machi...
A recent line of work has focused on training machine learning (ML) mode...
The Wasserstein barycenter is a geometric construct which captures the n...
Performative distribution shift captures the setting where the choice of...
Deleting data from a trained machine learning (ML) model is a critical t...