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Statistical Analysis of Wasserstein Distributionally Robust Estimators
Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 1/2
Wasserstein Distance & Optimal Transport — Fully Explained
Johanna Mathieu: Data‐Driven Distributionally Robust Optimization
Introduction to Distributionally Robust Optimization
Nam Ho Nguyen: Distributionally Robust Chance Constrained Programs under Wasserstein Ambiguity
Robust Learning via Robust Optimization - Stefanie Jegelka
09. Regularized Wasserstein Distances & Minimum Kantorovich Estimators. Marco Cuturi
Enhanced Wasserstein Distributionally Robust OPF With Dependence Structure and Support Information
Stochastics and Statistics Seminar - Jose Blanchet
Distributionally Robust Optimization and Its Applications in Communication and Networking
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Last Updated: September 28, 2026
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Professor Gao Rui's academic report in Chinese. Abstract: More information on our webpage: sites.google.com/view/row-series/home. Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern Please consider supporting us on Patreon if you enjoy our content: patreon.com/thesyntheticmind What's the best way ... 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 Deep Learning: Theory, Algorithms, and Applications. Berlin, June 2017 The workshop aims at bringing together leading ... This is one hour talk. For the slides and three-hour slides, please visit wireless.egr.uh.edu/research.htm.
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