CIS Seminar: “Frameworks for Efficient Algorithms for Learning: Robustness and Data Compression”
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Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street, Philadelphia, PA, United States
Though modern machine learning has been highly successful, as we move towards more critical applications, many challenges towards building trustworthy systems, such as ensuring robustness, privacy, and fairness, arise. Ad hoc and empirical approaches have often led to unintended consequences for these objectives, thus necessitating a principled approach. Traditional solutions often require redesigning entire pipelines […]

