WiDS FAU: Data-Driven Optimization under Uncertainty with Engineering Applications
Next April 20th – 21st, 2023 our FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg will host -virtually- the WiDS, the Women in Data Science international conference organised annually by the Stanford University all around the world.
Our FAU MoD member, Prof. Dr. Frauke Liers will talk as keynote speaker on:
Data-Driven Optimization under Uncertainty with Engineering Applications
Abstract. For many applications, it is mandatory to determine optimized solutions that are protected against uncertainty. Stochastic optimization may have the disadvantage that the underlying probability distributions are unknown or uncertain themselves. Standard robust optimization may lead to conservative results, since solutions are determined that are feasible, regardless of how the uncertainties manifest themselves within predefined uncertainty sests. Distributional robustness (DRO) has the goal of integrating the advantages of both worlds, since it protects robustly against uncertain distributions. DRO is currently receiving increased attention. In this talk, we will review some data-driven approaches in the field and explain some recent developments that use data observations to learn more about uncertain distributions over time, along with best protected solutions, together with some applications.
Thu. April 20, 2023 at 12:15H (Berlin time)
Registration is free but mandatory.
To join WiDS FAU (virtually) please fill out the registration form
* Registration will be available until April 15th, 2023
Check more details of this event at FAU
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