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Combining polyhedral approaches and SDDiP for solving uncertain uncapacitated lot-sizing problems
Conformal uncertainty sets for robust optimization
Robust Optimization using Machine Learning for Uncertainty Sets
Polyhedral Optimization Explained: Geometry of Code
Shimrit Shtern- Smooth Uncertainty Sets: Connecting Uncertain Parameters via a Simple Polyhedral Set
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Last Updated: October 19, 2026
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Summary
Presented by Michael Hartisch, Thorsten Ederer, Ulf Lorenz and Jan Wolf at the 9th International Computers and Games ... Channel's GitHub page hosting Jupyter Notebook: github.com/mtorabirad/MLBoost In this video, we explore the concept of ... This talk was given by Céline Gicquel on 12/04/2024. Great well thank you everyone for attending this presentation i'm going to be talking about conformal Talk abstract: Our goal is to build robust optimization problems that make decisions about the future, and where complex data from ... Dive into the fascinating world of More information on our webpage: sites.google.com/view/row-series/home. 2025 ML Academy & Artiste Distinguished Lecture. Um all right so next we're going to talk about using D Piper for
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