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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
Contextual Selection of Conformal Uncertainty Sets for Conditional Robust Optimization
Abhilash Chenreddy - Data driven conditional uncertainty sets
From Moderate Deviations Theory to Distributionally Robust Optimization: Correlated Data
Fine-Tuned Robust Optimization: Attaining Robustness and Targeting Ideality
Wasserstein distributionally robust optimization:computation, regularization and statistics
Qi Zhang: A Unified Framework for Adjustable Robust Optimization with Endogenous Uncertainty
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Last Updated: September 26, 2026
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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 Speaker: Prof. Haojie Ren Time: 14:00 (GMT), Feb 19, 2025 Abstract In decision-making under Abhilash Chenreddy (PhD, HEC Montréal) Supervision: Erick Delage Full title: From Moderate Deviations Theory to Distributionally Highlight: Whenever you have a mathematical model, you give inputs, and the model returns outputs. But how do you better ... Professor Gao Rui's academic report in Chinese. Abstract: Wasserstein distributionally Abstract: This work proposes a framework for multistage adjustable
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