Media Summary: Intersections between Control, Learning and Optimization 2020 " ... UMons, will present you an enhanced solution for the We consider statistical methods which invoke a min-max

2019 Tutorial Wasserstein Distributionally Robust - Detailed Analysis & Overview

Intersections between Control, Learning and Optimization 2020 " ... UMons, will present you an enhanced solution for the We consider statistical methods which invoke a min-max We describe the following paper from my team: In this video, Adriano Arrigo, PhD candidate at the Power Systems and Markets Research (PSMR) Group - University of Mons, ... Please consider supporting us on Patreon if you enjoy our content: What's the best way ...

Abstract: Endogenous, i.e. decision-dependent, uncertainty has received increased interest in the stochastic programming ... Speaker: Johanna Mathieu (University of Michigan) Event: DTU CEE Summer School

Photo Gallery

2019 TutORial: Wasserstein Distributionally Robust Optimization
Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi..."
Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
Enhanced Wasserstein Distributionally Robust OPF With Dependence Structure and Support Information
Nam Ho Nguyen: Distributionally Robust Chance Constrained Programs under Wasserstein Ambiguity
Wasserstein distributionally robust optimization:computation, regularization and statistics
Jianqiang Cheng (U Arizona) Approximated Distributionally Robust Optimization
Statistical Analysis of Wasserstein Distributionally Robust Estimators
Wasserstein Robust RL
Introduction to Distributionally Robust Optimization
Wasserstein Distance & Optimal Transport — Fully Explained
Distributionally Robust Operation for Islanded Multi-Energy Micro-Grids -Poster session 21PESGM0029
Sponsored
Sponsored
View Detailed Profile
Sponsored
Sponsored