3 citations · 4 across the 10 of their papers we have counts for
3 papers · 1 filter
Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms
Ye Tian, Mengchu Li, Marco Avella Medina
Integrating information across related tasks can improve estimation and prediction in transfer, multi-task, and federated learning, but contamination and heterogeneity make robust…
Spectral learning of multivariate extremes
Marco Avella Medina, Richard A. Davis, Gennady Samorodnitsky
We propose a spectral clustering algorithm for analyzing the dependence structure of multivariate extremes. More specifically, we focus on the asymptotic dependence of multivariate…
On the Robustness to Misspecification of -Posteriors and Their Variational Approximations
Marco Avella Medina, José Luis Montiel Olea, Cynthia Rush +1
-posteriors and their variational approximations distort standard posterior inference by downweighting the likelihood and introducing variational approximation errors. We show t…