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Generalization Error of Invariant Classifiers
Jure Sokolic, Raja Giryes, Guillermo Sapiro +1
This paper studies the generalization error of invariant classifiers. In particular, we consider the common scenario where the classification task is invariant to certain transform…
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems
Raja Giryes, Yonina C. Eldar, Alex M. Bronstein +1
Solving inverse problems with iterative algorithms is popular, especially for large data. Due to time constraints, the number of possible iterations is usually limited, potentially…
Robust Large Margin Deep Neural Networks
Jure Sokolic, Raja Giryes, Guillermo Sapiro +1
The generalization error of deep neural networks via their classification margin is studied in this work. Our approach is based on the Jacobian matrix of a deep neural network and…