Robust Optimization Using Machine Learning For Uncertainty Sets

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Overview of Robust Optimization Using Machine Learning For Uncertainty Sets

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Core Information

Full Dimitris Bertsimas - Robust Optimization with Information Theory Inspired Uncertainty Sets and... Update

Explore the main sources for Robust Optimization Using Machine Learning For Uncertainty Sets.

History

Information Marc Goerigk - Scenario Reduction for Robust Optimization with Discrete Uncertainty (ROW Talk) Guide

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Conformal uncertainty sets for robust optimization

Leonardo Lozano-Integer robust optimization problems with integer decision-dependent uncertainty set

Robust optimization

Robust Learning via Robust Optimization - Stefanie Jegelka

Daniel Kuhn: Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi...

Abhilash Chenreddy - Data driven conditional uncertainty sets

Contextual Selection of Conformal Uncertainty Sets for Conditional Robust Optimization

Qi Zhang: A Unified Framework for Adjustable Robust Optimization with Endogenous Uncertainty

From Moderate Deviations Theory to Distributionally Robust Optimization: Correlated Data

Phebe Vayanos, Robust Optimization & Sequential Decision-Making

KPMG: Using Optimization to Cope with Uncertainty

Detailed Analysis

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Last Updated: October 2, 2026

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Summary

Talk abstract: Our goal is to build For more information on the webinar you can to our mailings list calendar on ... Please find more details about the seminar on our webpage: sites.google.com/view/row-series/home. (1er octobre 2021 / October 1st, 2021) Atelier ... our random parameters that we Leonardo Lozano - University of Cincinnati Solving integer This video gives an introduction to Stefanie Jegelka, Professor at MIT, presents recent work on robust Abhilash Chenreddy (PhD, HEC Montréal) Supervision: Erick Delage Speaker: Prof. Haojie Ren Time: 14:00 (GMT), Feb 19, 2025 Abstract In decision-making under Abstract: This work proposes a framework for multistage adjustable Full title: From Moderate Deviations Theory to Distributionally In this session, KPMG will discuss how to turn disruption into an opportunity and how to

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