Media Summary: Please find more details about the seminar on our webpage: Stefanie Jegelka, Professor at MIT, presents recent work on robust

Machine Learning And Robust Optimization - Detailed Analysis & Overview

Please find more details about the seminar on our webpage: Stefanie Jegelka, Professor at MIT, presents recent work on robust

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Frauke Liers - (Data-driven) distributional robustness over time: How to 'learn' relevant uncertai..
Esther Julien - Machine Learning for K-adaptability in Two-stage Robust Optimization (ROW Talk)
Marc Goerigk - Scenario Reduction for Robust Optimization with Discrete Uncertainty (ROW Talk)
Martin Schmidt - The Connections Between Bilevel and Robust Optimization (ROW Talk)
Bo Zeng - A Study of Distributionally Robust Optimization from Primal Perspective
Robust optimization
Marco C. Campi - Data-Driven Robust Optimization (ROW Talk)
Robust Learning via Robust Optimization - Stefanie Jegelka
Donato Maragno - Finding regions of counterfactual explanations via robust optimization (ROW Talk)
Machine Learning and Robust Optimization, Fengqi You, Cornell University
Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi..."
Justin Dumouchelle - Neur2RO: Neural Two-Stage Robust Optimization (ROW Talk)
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Frauke Liers - (Data-driven) distributional robustness over time: How to 'learn' relevant uncertai..

Frauke Liers - (Data-driven) distributional robustness over time: How to 'learn' relevant uncertai..

Please find more details about the seminar on our webpage: https://sites.google.com/view/row-series/home.

Esther Julien - Machine Learning for K-adaptability in Two-stage Robust Optimization (ROW Talk)

Esther Julien - Machine Learning for K-adaptability in Two-stage Robust Optimization (ROW Talk)

More information on our webpage: https://sites.google.com/view/row-series/home.

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

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

Please find more details about the seminar on our webpage: https://sites.google.com/view/row-series/home.

Martin Schmidt - The Connections Between Bilevel and Robust Optimization (ROW Talk)

Martin Schmidt - The Connections Between Bilevel and Robust Optimization (ROW Talk)

More information on our webpage: https://sites.google.com/view/row-series/home.

Bo Zeng - A Study of Distributionally Robust Optimization from Primal Perspective

Bo Zeng - A Study of Distributionally Robust Optimization from Primal Perspective

More information on our webpage: https://sites.google.com/view/row-series/home.

Robust optimization

Robust optimization

This video gives an introduction to

Marco C. Campi - Data-Driven Robust Optimization (ROW Talk)

Marco C. Campi - Data-Driven Robust Optimization (ROW Talk)

More info on our webpage: https://sites.google.com/view/row-series/home.

Robust Learning via Robust Optimization - Stefanie Jegelka

Robust Learning via Robust Optimization - Stefanie Jegelka

Stefanie Jegelka, Professor at MIT, presents recent work on robust

Donato Maragno - Finding regions of counterfactual explanations via robust optimization (ROW Talk)

Donato Maragno - Finding regions of counterfactual explanations via robust optimization (ROW Talk)

Please find more details about the seminar on our webpage: https://sites.google.com/view/row-series/home.

Machine Learning and Robust Optimization, Fengqi You, Cornell University

Machine Learning and Robust Optimization, Fengqi You, Cornell University

When

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

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

Intersections between Control,

Justin Dumouchelle - Neur2RO: Neural Two-Stage Robust Optimization (ROW Talk)

Justin Dumouchelle - Neur2RO: Neural Two-Stage Robust Optimization (ROW Talk)

More information on our webpage: https://sites.google.com/view/row-series/home.

Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)

Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)

Here we cover six