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Last Updated: June 14, 2026
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Robust Learning via Robust Optimization - Stefanie Jegelka
Robust Optimization and Generalization
Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi..."
Irina Wang - Fast Online Distributionally Robust Optimization via Data Compression
Overview on Robust Optimization And Generalization
Stefanie Jegelka, Professor at MIT, presents recent work on robust machine learning via John Duchi (Stanford University) Modern Paradigms ... Intersections between Control, Learning and Optimization 2020 "Wasserstein Distributionally Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern PhD thesis defense of Anil Yildiz. How can autonomous robots adapt to the unknown, make intelligent decisions, and stay safe in ... Deep learning (DL) is one of the most popular approaches used for recent developments in the realm of Artificial Intelligence.
Please find more details about the seminar on our webpage: Nadav Cohen (Institute for Advanced Study) Frontiers of Deep Learning. Given by Daniel Kuhn at 2019 INFORMS Annual Meeting in Seattle, WA. Many decision problems in science, engineering and ... Towards Deep Learning Models Resistant to Adversarial Attacks Course Materials: ...
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