Media Summary: Intersections between Control, Learning and How do we make optimal decisions when the future is uncertain? (27 septembre 2021 / September 27, 2021) Atelier Optimisation sous incertitude / Workshop:

Robustness Optimization Under Uncertainty - Detailed Analysis & Overview

Intersections between Control, Learning and How do we make optimal decisions when the future is uncertain? (27 septembre 2021 / September 27, 2021) Atelier Optimisation sous incertitude / Workshop: Abstract: Endogenous, i.e. decision-dependent, Sasha Rakhlin, University of Pennsylvania; Ben Recht, UC Berkeley; and Laurent El Ghaoui, UC Berkeley ... Short talks by postdoctoral members Topic: Discrete

Sankaran Mahadevan is Professor of Civil and Environmental Engineering at Vanderbilt University www.cee.vanderbilt.edu. Mathematical Sciences researcher Michael Zabarankin talks about his data science research in

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Robustness - Optimization Under Uncertainty
Eva Ley - Budget Deflection in Optimization under Controllable Uncertainty
Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi..."
Optimization Under Uncertainty: Basics of Robust & Chance-Constrained Optimization
Online Ad Allocation: Robust Optimization for Repeated Auctions
A Unified Framework for Optimization under Uncertainty...
Wei Feng: Multistage Robust Mixed-Integer Optimization Under Endogenous Uncertainty
Robustness, Stochastics, Uncertainty 3
Optimization under Uncertainty (Prof. Grossman Plenary) + Opening session
Discrete Optimization Under Uncertainty - Sahil Singla
Sankaran Mahadevan: Optimization Under Uncertainty - Research Focus #3, Risk & Reliability
Optimization Under Uncertainty
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Robustness - Optimization Under Uncertainty

Robustness - Optimization Under Uncertainty

Robust optimization

Eva Ley - Budget Deflection in Optimization under Controllable Uncertainty

Eva Ley - Budget Deflection in Optimization under Controllable Uncertainty

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

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, Learning and

Optimization Under Uncertainty: Basics of Robust & Chance-Constrained Optimization

Optimization Under Uncertainty: Basics of Robust & Chance-Constrained Optimization

How do we make optimal decisions when the future is uncertain?

Online Ad Allocation: Robust Optimization for Repeated Auctions

Online Ad Allocation: Robust Optimization for Repeated Auctions

Vahab Mirrokni, Google https://simons.berkeley.edu/talks/vahab-mirrokni-2016-09-22

A Unified Framework for Optimization under Uncertainty...

A Unified Framework for Optimization under Uncertainty...

(27 septembre 2021 / September 27, 2021) Atelier Optimisation sous incertitude / Workshop:

Wei Feng: Multistage Robust Mixed-Integer Optimization Under Endogenous Uncertainty

Wei Feng: Multistage Robust Mixed-Integer Optimization Under Endogenous Uncertainty

Abstract: Endogenous, i.e. decision-dependent,

Robustness, Stochastics, Uncertainty 3

Robustness, Stochastics, Uncertainty 3

Sasha Rakhlin, University of Pennsylvania; Ben Recht, UC Berkeley; and Laurent El Ghaoui, UC Berkeley ...

Optimization under Uncertainty (Prof. Grossman Plenary) + Opening session

Optimization under Uncertainty (Prof. Grossman Plenary) + Opening session

... for these doing some recourse

Discrete Optimization Under Uncertainty - Sahil Singla

Discrete Optimization Under Uncertainty - Sahil Singla

Short talks by postdoctoral members Topic: Discrete

Sankaran Mahadevan: Optimization Under Uncertainty - Research Focus #3, Risk & Reliability

Sankaran Mahadevan: Optimization Under Uncertainty - Research Focus #3, Risk & Reliability

Sankaran Mahadevan is Professor of Civil and Environmental Engineering at Vanderbilt University www.cee.vanderbilt.edu.

Optimization Under Uncertainty

Optimization Under Uncertainty

Mathematical Sciences researcher Michael Zabarankin talks about his data science research in

Introduction to Distributionally Robust Optimization

Introduction to Distributionally Robust Optimization

In