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Robust optimization
Robust Learning via Robust Optimization - Stefanie Jegelka
Daniel Kuhn: Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi...
Distributionally Robust Optimization and Its Applications in Communication and Networking
Aras Selvi - Differential Privacy via Distributionally Robust Optimization (ROW Talk)
Johanna Mathieu: Data‐Driven Distributionally Robust Optimization
From Moderate Deviations Theory to Distributionally Robust Optimization: Correlated Data
Jianqiang Cheng (U Arizona) Approximated Distributionally Robust Optimization
Distributional Robust Optimization, Online Linear Programming, Yinyu Ye, Stanford University
Stephen Wright: Nonconvex optimization in matrix optimization and distributionally robust optim...
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Last Updated: September 25, 2026
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In this video, Adriano Arrigo, PhD candidate at the Power Systems and Markets Research (PSMR) Group - University of Mons, ... (13 septembre 2021 / September 13, 2021) Seminar Applied Mathematics/Mathématiques appliquées ... Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern More information on our webpage: sites.google.com/view/row-series/home. Stefanie Jegelka, Professor at MIT, presents recent work on Intersections between Control, Learning and This is one hour talk. For the slides and three-hour slides, please visit wireless.egr.uh.edu/research.htm. For more details about the seminar please check our website: sites.google.com/view/row-series/home. Given by Daniel Kuhn at 2019 INFORMS Annual Meeting in Seattle, WA. Many decision problems in science, engineering and ... Speaker: Johanna Mathieu (University of Michigan) Event: DTU CEE Summer School 2019 on "Data-Driven Analytics and ... Full title: From Moderate Deviations Theory to Distributionally robust optimization
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