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Irina Wang - Fast Online Distributionally Robust Optimization via Data Compression
Johanna Mathieu: Planning for Uncertainty in Coupled Power-Water Distribution Networks
Data-driven distributionally robust optimization with MOSEK
Introduction to Distributionally Robust Optimization
Johanna Mathieu - 2025 LORER Summer School
Robust Learning via Robust Optimization - Stefanie Jegelka
From Moderate Deviations Theory to Distributionally Robust Optimization: Correlated Data
Frauke Liers - (Data-driven) distributional robustness over time: How to 'learn' relevant uncertai..
Finding Flexibility in Data Center Use, with Johanna Mathieu
Daniel Kuhn: Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi...
Jianqiang Cheng (U Arizona) Approximated Distributionally Robust Optimization
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Last Updated: October 19, 2026
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The water and power networks are heavily interdependent. The water network requires power for the extraction, treatment, and ... Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern More information on our webpage: sites.google.com/view/row-series/home. More infos on our webpage: sites.google.com/view/row-series/home. This video introduces the viewer to the work presented in the award winning paper titled " In this video, Adriano Arrigo, PhD candidate at the Power Systems and Markets Research (PSMR) Group - University of Mons, ... Stefanie Jegelka, Professor at MIT, presents recent work on Full title: From Moderate Deviations Theory to Please find more details about the seminar on our webpage: sites.google.com/view/row-series/home. In this week's episode, host Kristin Hayes is joined by University of Michigan Associate Professor Distributionally robust optimization
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