2 papers
stat.ML2020
Generalization Error for Linear Regression under Distributed Learning
Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
Distributed learning facilitates the scaling-up of data processing by distributing the computational burden over several nodes. Despite the vast interest in distributed learning, g…
stat.ML2020
Sparse Recovery With Non-Linear Fourier Features
Ayca Ozcelikkale
Random non-linear Fourier features have recently shown remarkable performance in a wide-range of regression and classification applications. Motivated by this success, this article…