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 ...

Photo Gallery

Deep Learning in Robust Optimization

Robust Learning via Robust Optimization - Stefanie Jegelka

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

Irina Wang - Fast Online Distributionally Robust Optimization via Data Compression

Robust optimization

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

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

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

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

Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources

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

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

View Detailed Profile

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,

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

Robust optimization

This video gives an introduction to

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.

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

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

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.

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 ...

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

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

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