22 citations · 71 across the 18 of their papers we have counts for
4 papers · 1 filter
Asymptotics of the Sketched Pseudoinverse
Daniel LeJeune, Pratik Patil, Hamid Javadi +2
We take a random matrix theory approach to random sketching and show an asymptotic first-order equivalence of the regularized sketched pseudoinverse of a positive semidefinite matr…
TITAN: Bringing The Deep Image Prior to Implicit Representations
Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi +6
We study the interpolation capabilities of implicit neural representations (INRs) of images. In principle, INRs promise a number of advantages, such as continuous derivatives and a…
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
Daniel LeJeune, Jiayu Liu, Reinhard Heckel
Machine learning systems are often applied to data that is drawn from a different distribution than the training distribution. Recent work has shown that for a variety of classific…
A Blessing of Dimensionality in Membership Inference through Regularization
Jasper Tan, Daniel LeJeune, Blake Mason +2
Is overparameterization a privacy liability? In this work, we study the effect that the number of parameters has on a classifier's vulnerability to membership inference attacks. We…