1 citations · 1 across the 16 of their papers we have counts for
3 papers · 2 filters
High-dimensional Analysis of Synthetic Data Selection
Parham Rezaei, Filip Kovacevic, Francesco Locatello +1
Despite the progress in the development of generative models, their usefulness in creating synthetic data that improve prediction performance of classifiers has been put into quest…
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
Filip Kovačević, Yihan Zhang, Marco Mondelli
Multi-index models provide a popular framework to investigate the learnability of functions with low-dimensional structure and, also due to their connections with neural networks,…
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
Simone Bombari, Marco Mondelli
Learning models have been shown to rely on spurious correlations between non-predictive features and the associated labels in the training data, with negative implications on robus…