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Introduction to Distributionally Robust Optimization
Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 2/2
Daniel Kuhn: Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi...
Robust Learning via Robust Optimization - Stefanie Jegelka
Beste Basciftci - Distributionally Robust Optimization under Multimodal Decision-Dependent Uncertain
Prior Robust Optimization
Distributionally Robust Prescriptive Analytics Based On Optimal Transport
IROS2020 Data-Driven Distributionally Robust Electric Vehicle Balancing under Model Uncertainties
From Moderate Deviations Theory to Distributionally Robust Optimization: Correlated Data
Talk The value of conic optimization for analytics practitioners by Erling Andersen (MOSEK)
Distributionally Robust Power and Gas Dispatch with Multivariate and Correlated Uncertainty
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Last Updated: September 27, 2026
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This video introduces the viewer to the work presented in the award winning paper titled " Download 1M+ code from codegive.com/a23c0c0 okay, let's dive into Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern Speaker: Johanna Mathieu (University of Michigan) Event: DTU CEE Summer School 2019 on " 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 More information on our webpage: sites.google.com/view/row-series/home. Publication Title: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Article Title: Full title: From Moderate Deviations Theory to
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