4 papers · 1 filter
Multiview Representation Learning via Distributed Joint Latent Space Structuring
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
We study distributed multiview representation learning, a problem in which clients each observe a distinct but possibly statistically correlated view. The clients independently…
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
We establish in-expectation and tail bounds on the generalization error of representation learning type algorithms. The bounds are in terms of the relative entropy between the dist…
Minimal Communication-Cost Statistical Learning
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
A client device which has access to training data samples needs to obtain a statistical hypothesis or model and then to send it to a remote server. The client and the serve…
Minimum Description Length and Generalization Guarantees for Representation Learning
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
A major challenge in designing efficient statistical supervised learning algorithms is finding representations that perform well not only on available training samples but also on…