Search Results for author:
Found 4 papers, 0 papers with code
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems
Confronted with this challenge, in this paper we open a new line of research, where the security, privacy, and fairness is learned and used in a closed environment.
Generalization Error of Invariant Classifiers
We show that whereas the generalization error of a non-invariant classifier is proportional to the complexity of the input space, the generalization error of an invariant classifier is proportional to the complexity of the base space.
Robust Large Margin Deep Neural Networks
The generalization error of deep neural networks via their classification margin is studied in this work.
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification
This paper considers the classification of linear subspaces with mismatched classifiers.
