Robust Empirical Risk Minimization with Tolerance

Developing simple, sample-efficient learning algorithms for robust classification is a pressing issue in today's tech-dominated world, and current theoretical techniques requiring exponential sample complexity and complicated improper learning rules fall far from answering the need. In this wor...

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Bibliographische Detailangaben

Hauptverfasser:	Bhattacharjee, Robi, Hopkins, Max, Kumar, Akash, Yu, Hantao, Chaudhuri, Kamalika
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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