Deep Learning In Robust Optimization

Media Summary: Stefanie Jegelka, Professor at MIT, presents recent work on robust Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern Dimitris Bertsimas, Ph.D. Boeing Professor of Operations Research Sloan School of Management; Operations Research Center ...

Deep Learning In Robust Optimization - Detailed Analysis & Overview

Stefanie Jegelka, Professor at MIT, presents recent work on robust Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern Dimitris Bertsimas, Ph.D. Boeing Professor of Operations Research Sloan School of Management; Operations Research Center ... Given by Daniel Kuhn at 2019 INFORMS Annual Meeting in Seattle, WA. Many decision problems in science, engineering and ...

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Deep Learning in Robust Optimization

Robust Learning via Robust Optimization - Stefanie Jegelka

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

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

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

Robust Optimization (Q&A) | Lecture 19 (Part 3) | Applied Deep Learning (Supplementary)

Building upon MIP and non smooth optimization to learn robust deep neural networks

Irina Wang - Fast Online Distributionally Robust Optimization via Data Compression

Robust Optimization (Continued) | Lecture 24 (Part 1) | Applied Deep Learning

Robust and Adaptive Optimization: A Tractable Approach to Optimization Under Uncertainty

Anton Medvedev - Finite Adaptability in Robust Optimization: Asymptotic Optimality and Tractability

Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources

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Deep Learning in Robust Optimization

Deep Learning in Robust Optimization

Deep learning

Robust Learning via Robust Optimization - Stefanie Jegelka

Robust Learning via Robust Optimization - Stefanie Jegelka

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

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,

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

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

Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern

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

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

Towards

Robust Optimization (Q&A) | Lecture 19 (Part 3) | Applied Deep Learning (Supplementary)

Robust Optimization (Q&A) | Lecture 19 (Part 3) | Applied Deep Learning (Supplementary)

Towards

Building upon MIP and non smooth optimization to learn robust deep neural networks

Building upon MIP and non smooth optimization to learn robust deep neural networks

It is well known that

Irina Wang - Fast Online Distributionally Robust Optimization via Data Compression

Irina Wang - Fast Online Distributionally Robust Optimization via Data Compression

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

Robust Optimization (Continued) | Lecture 24 (Part 1) | Applied Deep Learning

Robust Optimization (Continued) | Lecture 24 (Part 1) | Applied Deep Learning

Towards

Robust and Adaptive Optimization: A Tractable Approach to Optimization Under Uncertainty

Robust and Adaptive Optimization: A Tractable Approach to Optimization Under Uncertainty

Dimitris Bertsimas, Ph.D. Boeing Professor of Operations Research Sloan School of Management; Operations Research Center ...

Anton Medvedev - Finite Adaptability in Robust Optimization: Asymptotic Optimality and Tractability

Anton Medvedev - Finite Adaptability in Robust Optimization: Asymptotic Optimality and Tractability

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

Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources

Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources

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

2019 TutORial: Wasserstein Distributionally Robust Optimization

2019 TutORial: Wasserstein Distributionally Robust Optimization

Given by Daniel Kuhn at 2019 INFORMS Annual Meeting in Seattle, WA. Many decision problems in science, engineering and ...