Media Summary: Intersections between Control, Learning and Optimization 2020 " 2021 Virtual INFORMS Optimization Society Conference Monday, March 29, 11am-12noon EDT Speaker: ABSTRACT: Optimal Transport (OT) seeks the most efficient way to morph one probability distribution into another one, and ...

Daniel Kuhn Wasserstein Distributionally Robust - Detailed Analysis & Overview

Intersections between Control, Learning and Optimization 2020 " 2021 Virtual INFORMS Optimization Society Conference Monday, March 29, 11am-12noon EDT Speaker: ABSTRACT: Optimal Transport (OT) seeks the most efficient way to morph one probability distribution into another one, and ... Full title: From Moderate Deviations Theory to A General Framework for Optimal Data-Driven Optimization - We propose a statistically optimal approach to construct data-driven ... In this video, Adriano Arrigo, PhD candidate at the Power Systems and Markets Research (PSMR) Group - University of Mons, ...

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Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi..."
Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
2019 TutORial: Wasserstein Distributionally Robust Optimization
Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 1/2
Mathematical Foundations of Robust and Distributionally Robust Optimization
Nam Ho Nguyen: Distributionally Robust Chance Constrained Programs under Wasserstein Ambiguity
Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 2/2
Math4DS Live NO.35 | Daniel Kuhn, EPFL-
Wasserstein distributionally robust optimization:computation, regularization and statistics
A General Framework for Optimal Data-Driven Optimization
SIPTA Seminar by Daniel Kuhn: on the Interplay of Optimal Transport and Distrib. Robust Optimization
From Moderate Deviations Theory to Distributionally Robust Optimization: Correlated Data
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