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

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History

Information Conformal uncertainty sets for robust optimization Guide

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Robust Optimization with Adjustable Uncertainty Sets

Abhilash Chenreddy - Data driven conditional uncertainty sets

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

Contextual Selection of Conformal Uncertainty Sets for Conditional Robust Optimization

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

Robust Learning via Robust Optimization - Stefanie Jegelka

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

Phebe Vayanos, Robust Optimization & Sequential Decision-Making

From Moderate Deviations Theory to Distributionally Robust Optimization: Correlated Data

Robust optimization

Robust Optimization | Lecture 23 (Part 2) | Applied Deep Learning

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Last Updated: October 31, 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 ... ... our random parameters that we This video gives an introduction to (1er octobre 2021 / October 1st, 2021) Atelier Abhilash Chenreddy (PhD, HEC Montréal) Supervision: Erick Delage Leonardo Lozano - University of Cincinnati Solving integer 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 Stefanie Jegelka, Professor at MIT, presents recent work on robust Full title: From Moderate Deviations Theory to Distributionally Watch this webinar and understand the basics of

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