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Robust Optimization with Adjustable Uncertainty Sets
Conformal Contextual Robust Optimization
Robust optimization
Conformal Prediction: uncertainty quantification to humanise models
Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 1/2
Marc Goerigk - Scenario Reduction for Robust Optimization with Discrete Uncertainty (ROW Talk)
Uncertainty Quantification (2): Full Conformal Predictors
Conformal Prediction for Time Series: Uncertainty Quantification for Trustworthy Systems
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Last Updated: September 28, 2026
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... you everyone for attending this presentation i'm going to be talking about Speaker: Prof. Haojie Ren Time: 14:00 (GMT), Feb 19, 2025 Abstract In decision-making under For more information on the webinar you can to our mailings list calendar on ... Talk abstract: Our goal is to build (1er octobre 2021 / October 1st, 2021) Atelier Abstract: Data-driven approaches to predict-then-optimize decision-making problems seek to mitigate the risk of This video gives an introduction to Recorded at PyCon DE & PyData 2025, April 23, 2025 2025.pycon.de/program/FGEUJJ/ Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern Please find more details about the seminar on our webpage: sites.google.com/view/row-series/home. In this seminar, we hosted Bo Lin from The University of Toronto who presented his work on An animated walkthrough of the ICML 2024 tutorial "Distribution-Free Predictive In this video, we dive deep into the world of
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