Robust Optimization

Robust Optimization Information Guide

1. Overview of Robust Optimization
2. Core Information
3. Recent Updates
4. Deep Dive
5. Final Thoughts

Overview of Robust Optimization

Stefanie Jegelka, Professor at MIT, presents recent work on robust machine learning via Intersections between Control, Learning and Optimization 2020 "Wasserstein Distributionally (13 septembre 2021 / September 13, 2021) Seminar Applied Mathematics/Mathématiques appliquées ... Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern For more information on the webinar you can to our mailings list calendar on ... Hi everyone, Welcome to this video. Rapid technological changes and anthropogenic climate change are responsible for major ...

Please find more details about the seminar on our webpage:

Core Information

Recent Updates

Robust Optimization

Mathematical Foundations of Robust and Distributionally Robust Optimization

Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 1/2

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

Robust Optimization

Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources

Stochastic Programming & Robust Optimization | Energy Modeling | Guest Lecture

Robust optimization by Dr. Clausen

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

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: June 14, 2026

Final Thoughts

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.